From 17b485067d99ff2a5d34e4bfa24b3380005b5961 Mon Sep 17 00:00:00 2001 From: nadje Date: Mon, 1 Apr 2024 11:30:00 +0200 Subject: [PATCH 01/23] first draft AL gaze on face --- alpha-lab/.vitepress/config.mts | 1 + alpha-lab/cards.json | 9 +++ alpha-lab/gaze-on-face/barplot.png | Bin 0 -> 101797 bytes alpha-lab/gaze-on-face/index.md | 77 +++++++++++++++++++++ alpha-lab/public/gaze-on-face-landing.webp | Bin 0 -> 858218 bytes 5 files changed, 87 insertions(+) create mode 100644 alpha-lab/gaze-on-face/barplot.png create mode 100644 alpha-lab/gaze-on-face/index.md create mode 100644 alpha-lab/public/gaze-on-face-landing.webp diff --git a/alpha-lab/.vitepress/config.mts b/alpha-lab/.vitepress/config.mts index 2ea0b9325..b768819fe 100644 --- a/alpha-lab/.vitepress/config.mts +++ b/alpha-lab/.vitepress/config.mts @@ -12,6 +12,7 @@ let theme_config_additions = { { text: "Map Gaze Onto Dynamic Screen Content", link: "/map-your-gaze-to-a-2d-screen/" }, { text: "Map Gaze Onto Body Parts", link: "/dense-pose/" }, { text: "Map Gaze Onto a 3D Model of an Environment", link: "/nerfs/" }, + { text: "Map Gaze Onto Facial Landmarks", link: "/gaze-on-face/" }, ], }, { diff --git a/alpha-lab/cards.json b/alpha-lab/cards.json index 58075c344..ea09a8886 100644 --- a/alpha-lab/cards.json +++ b/alpha-lab/cards.json @@ -106,5 +106,14 @@ "href": "/alpha-lab/gaze-metrics-in-aois/" }, "image": "/alpha-lab/aoi-demo.webp" + }, + { + "title": "Mapping Gaze Onto Facial Landmarks", + "details": "Map gaze onto facial landmarks using Pupil Cloud’s Face Mapper exported data.", + "link": { + "text": "View", + "href": "/alpha-lab/gaze-on-face/" + }, + "image": "/alpha-lab/gaze-on-face-landing.webp" } ] \ No newline at end of file diff --git a/alpha-lab/gaze-on-face/barplot.png b/alpha-lab/gaze-on-face/barplot.png new file mode 100644 index 0000000000000000000000000000000000000000..446962f58d712e95c48c6c420a86364bb288dcfd GIT binary patch literal 101797 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+ - name: twitter:height + content: "720" + - property: og:image + content: "https://i.ytimg.com/vi/nt_zNSBMJWI/maxresdefault.jpg" +tags: [Neon, Cloud] +--- + + + +# Map Gaze Onto Facial Landmarks + + + + + +::: tip +Decode the cues of social interactions and cognition: Does your attention drift towards your friend's eyes, or do you gaze at their lips as they talk? This guide provides a roadmap to map gaze on facial landmarks using the output of our Face Mapper enrichment. +::: + +## Analyzing Social Interactions: Mapping Gaze Onto Facial Landmarks + +Understanding where individuals direct their attention during social interactions is of significant importance across various research domains. From developmental research, exploring how infants and children focus on specific facial features at different developmental stages, to clinical psychology and the study of atypical behaviours, such as autism spectrum disorder. + +In this guide, we'll show you how to map gaze onto facial landmarks using data exported from Pupil Cloud's Face Mapper enrichment. + +## Introducing AOI Mapping for Facial Landmarks + +Pupil Cloud offers a [Face Mapper enrichment](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) that tracks faces in scene videos, determines if they were gazed at, and provides coordinates for facial landmarks of the faces. However, it does not reveal which facial landmarks the wearer's gaze targets. That is, do they look at the mouth, eyes, or nose? + +This guide addresses this by introducing a tool that can generate Areas of Interest (AOIs) around each facial landmark (like in the video above) and correlate the wearer's gaze with these. This enables automatic identification of which specific locations the wearer looked at on their interlocutor's face. + +## Setting Up Your Study + +When setting up your experiment, precise mapping of gaze on facial landmarks hinges on two crucial factors: the proximity between the wearer and the target face, and the viewing angle directed towards the face. + +For example, closer proximity results in facial landmarks appearing larger in the scene video. Similarly, viewing angle influences whether the AOIs on distinct facial landmarks will overlap. + +It is therefore important to optimize the AOI radius depending on the target’s distance and viewing angle. A small AOI radius might inadequately cover the facial landmark of interest, leading to inaccuracies in gaze mapping. Conversely, a larger AOI radius might cause AOIs to overlap. Such overlap complicates the accurate mapping of gaze, as distinguishing foreground landmarks becomes challenging. + +## Steps To Recreate +1. Download a [Timeseries Data + Scene video]() from your project in Pupil Cloud. +2. Download the [Face Mapper export](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) from your project in Pupil Cloud. +Upload (uncompressed) one of the subfolders (recording folder) that you're interested in to Google Drive from the raw data export. +3. Follow the instructions of this [Github repository](https://github.com/pupil-labs/gaze-on-facial-landmarks) and start mapping gaze on facial landmarks. + +::: tip +Consider applying [offset correction](https://docs.pupil-labs.com/neon/data-collection/offset-correction/#using-offset-correction-to-improve-gaze-accuracy) for even more accurate mapping of gaze on facial landmarks. +::: + +## Explore the Gaze Mapping Output + +After running the code, new files will be generated. These files will be automatically saved within the folder that contains the Face Mapper enrichment data. Specifically, you will get: + +1. The scene video of your recording rendered to show a bounding box of the detected face, a blue shaded circle over the eyes and nose and a blue shaded ellipse over the mouth, as well as the typical red circle for the gaze position. Facial landmarks that are gazed at are highlighted with a green mask. +2. A newly generated file named `merged_data.csv`, containing all the relevant information you need, including the gaze data point information (gaze x and y coordinates), the coordinates of all facial landmarks, along with their associated timestamps, as well as the outcome of the mapping (field: `landmark`). +3. A newly generated file named `percentages.csv`, along with a barplot showing the percentage of gaze data mapped on each facial landmark. + +![Mapping gaze on facial landmarks results](./barplot.png) + +::: tip +Need guidance in adapting or extending this guide to match your custom analysis pipeline? Reach out to us via email at [info@pupil-labs.com](mailto:info@pupil-labs.com), on our [Discord server](https://pupil-labs.com/chat/), or visit our [Support Page](https://pupil-labs.com/products/support/) for dedicated support options. +::: \ No newline at end of file diff --git a/alpha-lab/public/gaze-on-face-landing.webp b/alpha-lab/public/gaze-on-face-landing.webp new file mode 100644 index 0000000000000000000000000000000000000000..f31214dace69dfdf7cf032e18999602f49ce69c3 GIT binary patch literal 858218 zcmZU41CVAr(CFBWrB7NXok}OCJBe0O zkc5Z9fdK*nf|r&OQvm`3Qvw14Ifa7w+hRBiOaKG~Y-}wmsw6EcN~GlCXkl$<4g^G% zY@fs|JEVjbu4q@T6v7k5VuT(x7f`HJfTr*Fs278`S)`GtHm@F|oBfJ18ip|vk z4-95N_yPrA5EjGJ&l@JOivGiHqx;0qaB|>ubL0}lp=>(+2uh`ukS{Y_{u(Y$eG5h? zavBr`JVOP@s-dU`-`RYtX+vr^K)lzN9CJKCo#T97^$<~!Knw|d*EL{DrN=HKRBIft zgG3@3KCc<#sz>$QazndgILRBM%yUniyWn@F4u6ShpBlHt-k02O_d8(f^}=fEh7%lJ_785TDjMdL7QgOL%G zu?aSEZ>HrZ?@)y1PaxC!p!)6GNB&(q)YBeYFaLL;69^}t2{zq#X^pBkSy|G?F%vwi 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zQYeSy!E3`_#cOe)?~FT(7AIKmAbKPa?;v7`qYnGqzic%U(L~~?afWsMj-sqHKa)o@a`(yqX7n{}s=Z#!oAH1WH8PnDnj^ku%i&KA0H5blw#GWb+L zf_4ZgUkLAwsXQtm!uZ*1zrU^+YuT^(m1kM$^_89EaaZ~2Pkvqg_y6mM<=LkmFW>y* z=gO8XtFpDngM5{9RNn>{-J%BmYuAA7($;m~T^Q}n#ew$A-1yad#}{bd;3q5X!|gLh zy0qU~wWc}hdbm#Ol?T@nRQ~R|49Yg@>`(0nT=06&+swc^o-BXu=ysfnzShp=1)2BTY6rrzK|1w`i8isB~ElCb_Or*Dm=mp zqo$ZhG6qeZ1po)Z2Tc_RTFqCLO+JFUoaQZKroiY(#RWqoewkTt7v7!lMfd4yAcYD` z%9JunT_RMgB(*5zW{tEwoGY-Jf!mThyd}JIlR6=MycRdUlwqsS2@cA%hP>8j%es~M z0N=U=+Q zNZMhgpZL(=H@zAm1&%nrzL`7MfrzAKUu1hodvv0$4nyxtqcK*%y9)j$&v+cd&&uN? z$4-{Rth&`;a`ebiK3;J>#|+H!0?NL6Vrm*X+b+B_H|K>i^DHIu0Wks2{)L-&)umBa z`MpL*9d0nP*Vq_3)G<&~u)oMJIye8V@36jzQyJnjN}8Ic5tT1AzOA=hgWSs5G~q!6 zzvl2pr2`P$^54s=N0_dD@22?Cu40DO0*DLHF92GAFgovWyS*5dl-FPWdaU;cW2&q@ zmrcW?Ou~F2PQn&a#fRx9F9PPt)ag6_Gz|g^@krcU$&$rRJ3s2aFq!Q6yf1D6z(O)~ zw2w-&$Bo`+XoM>!m-1zv<30p&ehKH9?ApPHI>yV)t?P6Nw(ZV6*&38)l|$o5)wjD= z+zzy1<0fnYr+Ie9@CmKuUt3g9+0vAzGp6 Date: Tue, 2 Apr 2024 14:45:53 +0800 Subject: [PATCH 02/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 11cc7ad5b..3a279d09a 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -64,7 +64,7 @@ Consider applying [offset correction](https://docs.pupil-labs.com/neon/data-coll ## Explore the Gaze Mapping Output -After running the code, new files will be generated. These files will be automatically saved within the folder that contains the Face Mapper enrichment data. Specifically, you will get: +After running the code, new files will be generated and automatically saved within the folder that contains the Face Mapper enrichment data. Specifically, you will get: 1. The scene video of your recording rendered to show a bounding box of the detected face, a blue shaded circle over the eyes and nose and a blue shaded ellipse over the mouth, as well as the typical red circle for the gaze position. Facial landmarks that are gazed at are highlighted with a green mask. 2. A newly generated file named `merged_data.csv`, containing all the relevant information you need, including the gaze data point information (gaze x and y coordinates), the coordinates of all facial landmarks, along with their associated timestamps, as well as the outcome of the mapping (field: `landmark`). From b54d61a190335674b5a9f4c74888d410f3dacb5e Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:46:00 +0800 Subject: [PATCH 03/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 3a279d09a..911849232 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -59,7 +59,7 @@ Upload (uncompressed) one of the subfolders (recording folder) that you're inter 3. Follow the instructions of this [Github repository](https://github.com/pupil-labs/gaze-on-facial-landmarks) and start mapping gaze on facial landmarks. ::: tip -Consider applying [offset correction](https://docs.pupil-labs.com/neon/data-collection/offset-correction/#using-offset-correction-to-improve-gaze-accuracy) for even more accurate mapping of gaze on facial landmarks. +Consider applying [offset correction](https://docs.pupil-labs.com/neon/data-collection/offset-correction/#using-offset-correction-to-improve-gaze-accuracy) before the recording(s) for even more accurate mapping of gaze on facial landmarks. ::: ## Explore the Gaze Mapping Output From 04456cbf22833c62b8212f52ace3d6bcb1f31f31 Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:46:10 +0800 Subject: [PATCH 04/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 911849232..a4d4bacef 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -34,7 +34,7 @@ Decode the cues of social interactions and cognition: Does your attention drift ## Analyzing Social Interactions: Mapping Gaze Onto Facial Landmarks -Understanding where individuals direct their attention during social interactions is of significant importance across various research domains. From developmental research, exploring how infants and children focus on specific facial features at different developmental stages, to clinical psychology and the study of atypical behaviours, such as autism spectrum disorder. +Understanding where individuals direct their attention during social interactions is of significant importance across various research domains. From developmental research, exploring how infants and children focus on facial features at different developmental stages, to clinical psychology and the study of atypical behaviours, such as autism spectrum disorder. In this guide, we'll show you how to map gaze onto facial landmarks using data exported from Pupil Cloud's Face Mapper enrichment. From a9af566793d5bd99dd60df22a5475ef87566ae5e Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:46:21 +0800 Subject: [PATCH 05/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index a4d4bacef..01be93ea1 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -40,7 +40,7 @@ In this guide, we'll show you how to map gaze onto facial landmarks using data e ## Introducing AOI Mapping for Facial Landmarks -Pupil Cloud offers a [Face Mapper enrichment](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) that tracks faces in scene videos, determines if they were gazed at, and provides coordinates for facial landmarks of the faces. However, it does not reveal which facial landmarks the wearer's gaze targets. That is, do they look at the mouth, eyes, or nose? +Pupil Cloud offers a [Face Mapper enrichment](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) that tracks faces in scene videos, determines if they were gazed at, and provides coordinates for facial landmarks. However, it does not reveal _which_ facial landmarks were gazed at. That is, did they look at the mouth, eyes, or nose? This guide addresses this by introducing a tool that can generate Areas of Interest (AOIs) around each facial landmark (like in the video above) and correlate the wearer's gaze with these. This enables automatic identification of which specific locations the wearer looked at on their interlocutor's face. From 3680e994bf05200713a1ed55a26aa717a1d3ff71 Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:46:27 +0800 Subject: [PATCH 06/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 01be93ea1..3443c1d6e 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -42,7 +42,7 @@ In this guide, we'll show you how to map gaze onto facial landmarks using data e Pupil Cloud offers a [Face Mapper enrichment](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) that tracks faces in scene videos, determines if they were gazed at, and provides coordinates for facial landmarks. However, it does not reveal _which_ facial landmarks were gazed at. That is, did they look at the mouth, eyes, or nose? -This guide addresses this by introducing a tool that can generate Areas of Interest (AOIs) around each facial landmark (like in the video above) and correlate the wearer's gaze with these. This enables automatic identification of which specific locations the wearer looked at on their interlocutor's face. +This guide introduces a tool to generate Areas of Interest (AOIs) around each facial landmark (like in the video above) and correlate the wearer's gaze with these. In short, it automatically identifies which facial landmarks were gazed at on the interlocutor's face. ## Setting Up Your Study From 57b0738d9edeefb2dbfad055e22e98c8c0403baa Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:46:38 +0800 Subject: [PATCH 07/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 3443c1d6e..af0a174f5 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -46,7 +46,7 @@ This guide introduces a tool to generate Areas of Interest (AOIs) around each fa ## Setting Up Your Study -When setting up your experiment, precise mapping of gaze on facial landmarks hinges on two crucial factors: the proximity between the wearer and the target face, and the viewing angle directed towards the face. +When setting up your experiment, precise mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle directed towards the face. For example, closer proximity results in facial landmarks appearing larger in the scene video. Similarly, viewing angle influences whether the AOIs on distinct facial landmarks will overlap. From b1fd0587972bdf1dc41b1771c133e39e58581228 Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:46:50 +0800 Subject: [PATCH 08/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index af0a174f5..6dd5806d0 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -48,7 +48,7 @@ This guide introduces a tool to generate Areas of Interest (AOIs) around each fa When setting up your experiment, precise mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle directed towards the face. -For example, closer proximity results in facial landmarks appearing larger in the scene video. Similarly, viewing angle influences whether the AOIs on distinct facial landmarks will overlap. +For example, closer proximity results in facial landmarks appearing larger in the scene video; while viewing angle can cause AOIs on facial landmarks to overlap. It is therefore important to optimize the AOI radius depending on the target’s distance and viewing angle. A small AOI radius might inadequately cover the facial landmark of interest, leading to inaccuracies in gaze mapping. Conversely, a larger AOI radius might cause AOIs to overlap. Such overlap complicates the accurate mapping of gaze, as distinguishing foreground landmarks becomes challenging. From bd2774156d58c703e859d1d22f09f4e4ccf39b3a Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:46:59 +0800 Subject: [PATCH 09/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 6dd5806d0..f9d0958a6 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -50,7 +50,7 @@ When setting up your experiment, precise mapping of gaze on facial landmarks dep For example, closer proximity results in facial landmarks appearing larger in the scene video; while viewing angle can cause AOIs on facial landmarks to overlap. -It is therefore important to optimize the AOI radius depending on the target’s distance and viewing angle. A small AOI radius might inadequately cover the facial landmark of interest, leading to inaccuracies in gaze mapping. Conversely, a larger AOI radius might cause AOIs to overlap. Such overlap complicates the accurate mapping of gaze, as distinguishing foreground landmarks becomes challenging. +It is therefore important to optimize the AOI radius depending on the target’s proximity and viewing angle. A small AOI radius might not cover the whole facial landmark of interest, leading to inaccurate gaze mapping. Conversely, a larger AOI radius might cause AOIs to overlap. Overlap can make it difficult to distinguish exactly which landmark was being gazed at. ## Steps To Recreate 1. Download a [Timeseries Data + Scene video]() from your project in Pupil Cloud. From fdd38f09bbf5dfa782b88799c5bb92d2c5f38fcc Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:53:07 +0800 Subject: [PATCH 10/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index f9d0958a6..46bbd8232 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -48,7 +48,7 @@ This guide introduces a tool to generate Areas of Interest (AOIs) around each fa When setting up your experiment, precise mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle directed towards the face. -For example, closer proximity results in facial landmarks appearing larger in the scene video; while viewing angle can cause AOIs on facial landmarks to overlap. +For example, a wearer too far from the target face can result in facial landmarks appearing too small in the scene video. At the same time, sub-optimal viewing angles can cause AOIs on facial landmarks to be too small, and/or overlap. A wearer that is both close and directly facing the target face is therefore more optimal. It is therefore important to optimize the AOI radius depending on the target’s proximity and viewing angle. A small AOI radius might not cover the whole facial landmark of interest, leading to inaccurate gaze mapping. Conversely, a larger AOI radius might cause AOIs to overlap. Overlap can make it difficult to distinguish exactly which landmark was being gazed at. From 902096dae10e60982609718236311ef00b593494 Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:53:30 +0800 Subject: [PATCH 11/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 46bbd8232..751d37cc0 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -46,7 +46,7 @@ This guide introduces a tool to generate Areas of Interest (AOIs) around each fa ## Setting Up Your Study -When setting up your experiment, precise mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle directed towards the face. +When setting up your experiment, precise mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle. For example, a wearer too far from the target face can result in facial landmarks appearing too small in the scene video. At the same time, sub-optimal viewing angles can cause AOIs on facial landmarks to be too small, and/or overlap. A wearer that is both close and directly facing the target face is therefore more optimal. From f1f4ad44612f01c9252d78f37d5098c7c985705c Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:53:55 +0800 Subject: [PATCH 12/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 751d37cc0..1333fe66d 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -46,7 +46,7 @@ This guide introduces a tool to generate Areas of Interest (AOIs) around each fa ## Setting Up Your Study -When setting up your experiment, precise mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle. +When setting up your experiment, accurate mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle. For example, a wearer too far from the target face can result in facial landmarks appearing too small in the scene video. At the same time, sub-optimal viewing angles can cause AOIs on facial landmarks to be too small, and/or overlap. A wearer that is both close and directly facing the target face is therefore more optimal. From 2484b1226e813bdf012f7384a8eb4d8b3cc808b4 Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Tue, 2 Apr 2024 14:55:09 +0800 Subject: [PATCH 13/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 1333fe66d..5fc711266 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -50,7 +50,7 @@ When setting up your experiment, accurate mapping of gaze on facial landmarks de For example, a wearer too far from the target face can result in facial landmarks appearing too small in the scene video. At the same time, sub-optimal viewing angles can cause AOIs on facial landmarks to be too small, and/or overlap. A wearer that is both close and directly facing the target face is therefore more optimal. -It is therefore important to optimize the AOI radius depending on the target’s proximity and viewing angle. A small AOI radius might not cover the whole facial landmark of interest, leading to inaccurate gaze mapping. Conversely, a larger AOI radius might cause AOIs to overlap. Overlap can make it difficult to distinguish exactly which landmark was being gazed at. +It is also important to optimize the AOI radius depending on the target’s proximity and viewing angle. A small AOI radius might not cover the whole facial landmark of interest. Conversely, a larger AOI radius might cause AOIs to overlap. Overlap can make it difficult to distinguish exactly which landmark was being gazed at. ## Steps To Recreate 1. Download a [Timeseries Data + Scene video]() from your project in Pupil Cloud. 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your friend's eyes, or do you gaze at their lips as they talk? This guide provides a roadmap to map gaze on facial landmarks using the output of our Face Mapper enrichment. @@ -46,14 +46,14 @@ This guide introduces a tool to generate Areas of Interest (AOIs) around each fa ## Setting Up Your Study -When setting up your experiment, accurate mapping of gaze on facial landmarks depends on two crucial factors: the proximity between the wearer and the target face, and the viewing angle. +When setting up your experiment, precise mapping of gaze on facial landmarks hinges on two crucial factors: the proximity between the wearer and the target face, and the viewing angle. For example, a wearer too far from the target face can result in facial landmarks appearing too small in the scene video. At the same time, sub-optimal viewing angles can cause AOIs on facial landmarks to be too small, and/or overlap. A wearer that is both close and directly facing the target face is therefore more optimal. It is also important to optimize the AOI radius depending on the target’s proximity and viewing angle. A small AOI radius might not cover the whole facial landmark of interest. Conversely, a larger AOI radius might cause AOIs to overlap. Overlap can make it difficult to distinguish exactly which landmark was being gazed at. ## Steps To Recreate -1. Download a [Timeseries Data + Scene video]() from your project in Pupil Cloud. +1. Download a [Timeseries Data + Scene video](https://docs.pupil-labs.com/neon/data-collection/data-format/) from your project in Pupil Cloud. 2. Download the [Face Mapper export](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) from your project in Pupil Cloud. Upload (uncompressed) one of the subfolders (recording folder) that you're interested in to Google Drive from the raw data export. 3. 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This guide shows how to map gaze on facial landmarks using the output of our Face Mapper enrichment. @@ -49,6 +49,8 @@ reveal _which_ facial landmarks were gazed at. That is, did they look at the mou This guide introduces a tool to generate Areas of Interest (AOIs) around each facial landmark (like in the video above) and correlate the wearer's gaze with these. In other words, it automatically identifies which facial landmarks were gazed at on the interlocutor's face. +It also computes the percentage of gaze mapped on each facial landmark, but you can use the results to compute your own outcome metrics. + ## Setting Up Your Experiment When setting up your experiment, accurate mapping of gaze on facial landmarks depends on three crucial factors: the proximity
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alpha-lab/gaze-on-face/index.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 595cbe2d9..2da6687d9 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -74,4 +74,5 @@ After running the code, new files will be generated and automatically saved with ::: tip Need guidance in adapting or extending this guide to match your custom analysis pipeline? Reach out to us via email at [info@pupil-labs.com](mailto:info@pupil-labs.com), on our [Discord server](https://pupil-labs.com/chat/), or visit our [Support Page](https://pupil-labs.com/products/support/) for dedicated support options. -::: \ No newline at end of file +::: + From c19c93f4c711edab27812efb6647f25e0b93a9c1 Mon Sep 17 00:00:00 2001 From: nadje Date: Tue, 2 Apr 2024 16:51:14 +0200 Subject: [PATCH 16/23] fixes --- alpha-lab/gaze-on-face/barplot1.png | Bin 0 -> 101745 bytes alpha-lab/gaze-on-face/index.md | 4 +++- 2 files changed, 3 insertions(+), 1 deletion(-) create mode 100644 alpha-lab/gaze-on-face/barplot1.png diff --git a/alpha-lab/gaze-on-face/barplot1.png b/alpha-lab/gaze-on-face/barplot1.png new file mode 100644 index 0000000000000000000000000000000000000000..fa97da90d49aa6ee2d68cca276053ce9c0b210b9 GIT binary patch literal 101745 zcmeFZhf`JA);&rGwM}r_hyv2)ga-vB3bbNEq5>jWL~_m9Nt*!{obor_4@;URiAacFD;zS-fPb_=a^%RxgN_%UEaK5_XY+AhRtGE 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z5g1Hg|7Ze}09^{P^@6Qq?I)bQ+4l!_ybjIS)xW)>)HWhCa&4&Vx?BE}|3V((3fM2f zfvb5hiViLVQ+bhG{j}LuTzyyPX~=)t4w1dhwaM_;XZ_Dd{Li!apLM~O_&@KF&{8%1 X1Nx6ABs|$Gd#7J7NBiS; Date: Tue, 2 Apr 2024 17:08:14 +0200 Subject: [PATCH 18/23] AOI colour - text update --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index 5754c4d39..c6388c11d 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -66,7 +66,7 @@ Consider applying [offset correction](https://docs.pupil-labs.com/neon/data-coll After running the code, new files will be generated and automatically saved within the folder that contains the Face Mapper enrichment data. Specifically, you will get: -1. The scene video of your recording rendered to show a bounding box of the detected face, a blue shaded circle over the eyes and nose and a blue shaded ellipse over the mouth, as well as the typical red circle for the gaze position. Facial landmarks that are gazed at are highlighted with a green mask. +1. The scene video of your recording rendered to show a bounding box of the detected face, a shaded circle over the eyes and nose and a shaded ellipse over the mouth, as well as the typical red circle for the gaze position. Facial landmarks that are gazed at are highlighted with a green mask. 2. A newly generated file named `merged_data.csv`, containing all the relevant information you need, including the gaze data point information (gaze x and y coordinates), the coordinates of all facial landmarks, along with their associated timestamps, as well as the outcome of the mapping (field: `landmark`). 3. A newly generated file named `percentages.csv`, along with a barplot showing the percentage of gaze data mapped on each facial landmark. From 2237b59fd20059a318f27691b65e6802f61ac0f1 Mon Sep 17 00:00:00 2001 From: N-M-T Date: Wed, 3 Apr 2024 11:21:28 +0800 Subject: [PATCH 19/23] @N-M-T's final edits --- alpha-lab/gaze-on-face/index.md | 43 +++++++++++++++++++++------------ 1 file changed, 28 insertions(+), 15 deletions(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index c6388c11d..ac969cc14 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -29,34 +29,47 @@ import TagLinks from '@components/TagLinks.vue' ::: tip -Decode the cues of social interactions and cognition: Does your attention drift towards your friend's eyes, or do you gaze at their lips as they talk? This guide provides a roadmap to map gaze on facial landmarks using the output of our Face Mapper enrichment. +Decode the cues of social interactions and cognition: Does your attention drift towards your friend's eyes, or do you gaze at their lips as they talk? This guide shows how to map gaze on facial landmarks using the output of our Face Mapper enrichment. ::: ## Analyzing Social Interactions: Mapping Gaze Onto Facial Landmarks -Understanding where individuals direct their attention during social interactions is of significant importance across various research domains. From developmental research, exploring how infants and children focus on facial features at different developmental stages, to clinical psychology and the study of atypical behaviours, such as autism spectrum disorder. +Understanding where individuals direct their attention during social interactions is of significant importance across various research domains. +From developmental research, exploring how infants and children focus on facial features at different developmental stages, to clinical psychology +and the study of atypical behaviours, such as autism spectrum disorder. In this guide, we'll show you how to map gaze onto facial landmarks using data exported from Pupil Cloud's Face Mapper enrichment. ## Introducing AOI Mapping for Facial Landmarks -Pupil Cloud offers a [Face Mapper enrichment](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) that tracks faces in scene videos, determines if they were gazed at, and provides coordinates for facial landmarks. However, it does not reveal _which_ facial landmarks were gazed at. That is, did they look at the mouth, eyes, or nose? +Pupil Cloud offers a [Face Mapper enrichment](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) that tracks +faces in scene videos, determines if they were gazed at, and provides coordinates for facial landmarks. However, it does not +reveal _which_ facial landmarks were gazed at. That is, did they look at the mouth, eyes, or nose? -This guide introduces a tool to generate Areas of Interest (AOIs) around each facial landmark (like in the video above) and correlate the wearer's gaze with these. In short, it automatically identifies which facial landmarks were gazed at on the interlocutor's face. +This guide introduces a tool to generate Areas of Interest (AOIs) around each facial landmark (like in the video above) and +correlate the wearer's gaze with these. In other words, it automatically identifies which facial landmarks were gazed at on the interlocutor's face. -## Setting Up Your Study +## Setting Up Your Experiment -When setting up your experiment, precise mapping of gaze on facial landmarks hinges on two crucial factors: the proximity between the wearer and the target face, and the viewing angle. +When setting up your experiment, accurate mapping of gaze on facial landmarks depends on three crucial factors: the proximity +between the wearer and the target face, the viewing angle, and the size of the AOIs that you define with our tool. -For example, a wearer too far from the target face can result in facial landmarks appearing too small in the scene video. At the same time, sub-optimal viewing angles can cause AOIs on facial landmarks to be too small, and/or overlap. A wearer that is both close and directly facing the target face is therefore more optimal. +For instance, if the wearer is far from the target face, facial landmarks may appear very small in the scene video. Meanwhile, +awkward viewing angles can cause facial landmarks to be very small, and sometimes overlap. Both of these factors can make it +difficult to distinguish exactly which landmark was being gazed at. + +Subsequently, it's important to optimise the AOI radius. A small AOI radius, for example, might not cover the entire facial +landmark of interest. Conversely, a larger AOI radius might cause AOIs to overlap. + +So you can see how all of these factors can interact, and the optimal setup may take some trial and error! But in general, +a wearer who is both close and directly facing the target face is more optimal in our experience. -It is also important to optimize the AOI radius depending on the target’s proximity and viewing angle. A small AOI radius might not cover the whole facial landmark of interest. Conversely, a larger AOI radius might cause AOIs to overlap. Overlap can make it difficult to distinguish exactly which landmark was being gazed at. ## Steps To Recreate -1. Download a [Timeseries Data + Scene video](https://docs.pupil-labs.com/neon/data-collection/data-format/) from your project in Pupil Cloud. +1. Download [Timeseries Data + Scene video](https://docs.pupil-labs.com/neon/data-collection/data-format/) from your project in Pupil Cloud. 2. Download the [Face Mapper export](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/) from your project in Pupil Cloud. Upload (uncompressed) one of the subfolders (recording folder) that you're interested in to Google Drive from the raw data export. -3. Follow the instructions of this [Github repository](https://github.com/pupil-labs/gaze-on-facial-landmarks) and start mapping gaze on facial landmarks. +3. Follow the instructions in this [Github repository](https://github.com/pupil-labs/gaze-on-facial-landmarks) and start mapping gaze on facial landmarks! ::: tip Consider applying [offset correction](https://docs.pupil-labs.com/neon/data-collection/offset-correction/#using-offset-correction-to-improve-gaze-accuracy) before the recording(s) for even more accurate mapping of gaze on facial landmarks. @@ -64,16 +77,16 @@ Consider applying [offset correction](https://docs.pupil-labs.com/neon/data-coll ## Explore the Gaze Mapping Output -After running the code, new files will be generated and automatically saved within the folder that contains the Face Mapper enrichment data. Specifically, you will get: +After running the code, new files will be generated and automatically saved within the folder that contains the Face Mapper enrichment data: -1. The scene video of your recording rendered to show a bounding box of the detected face, a shaded circle over the eyes and nose and a shaded ellipse over the mouth, as well as the typical red circle for the gaze position. Facial landmarks that are gazed at are highlighted with a green mask. -2. A newly generated file named `merged_data.csv`, containing all the relevant information you need, including the gaze data point information (gaze x and y coordinates), the coordinates of all facial landmarks, along with their associated timestamps, as well as the outcome of the mapping (field: `landmark`). -3. A newly generated file named `percentages.csv`, along with a barplot showing the percentage of gaze data mapped on each facial landmark. +1. Scene video of your recording rendered to show a bounding box of the detected face, a shaded circle over the eyes and nose and a shaded ellipse over the mouth, as well as the typical red circle for the gaze position. Facial landmarks that are gazed at are highlighted with a green mask. +2. `merged_data.csv` - contains all relevant information, including the gaze x and y coordinates, the coordinates of all facial landmarks, along with their associated timestamps, as well as the outcome of the mapping (field: `landmark`). +3. `percentages.csv` - percentage of gaze data mapped on each facial landmark, along with a barplot ![Mapping gaze on facial landmarks results](./barplot.png) ::: tip -Need guidance in adapting or extending this guide to match your custom analysis pipeline? Reach out to us via email at [info@pupil-labs.com](mailto:info@pupil-labs.com), on our [Discord server](https://pupil-labs.com/chat/), or visit our [Support Page](https://pupil-labs.com/products/support/) for dedicated support options. +Need guidance in adapting or extending this guide for your custom analysis pipeline? Reach out to us via email at [info@pupil-labs.com](mailto:info@pupil-labs.com), on our [Discord server](https://pupil-labs.com/chat/), or visit our [Support Page](https://pupil-labs.com/products/support/) for dedicated support options. ::: From c554c83f74c733c7442857c90daf290d13dadcf9 Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Wed, 3 Apr 2024 11:40:40 +0800 Subject: [PATCH 20/23] Update alpha-lab/cards.json --- alpha-lab/cards.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/cards.json b/alpha-lab/cards.json index ea09a8886..c059e805b 100644 --- a/alpha-lab/cards.json +++ b/alpha-lab/cards.json @@ -108,7 +108,7 @@ "image": "/alpha-lab/aoi-demo.webp" }, { - "title": "Mapping Gaze Onto Facial Landmarks", + "title": "Map Gaze Onto Facial Landmarks", "details": "Map gaze onto facial landmarks using Pupil Cloud’s Face Mapper exported data.", "link": { "text": "View", From a605cb92488bb0f54bfbed0f17d368dd6bb7961c Mon Sep 17 00:00:00 2001 From: "Neil M. Thomas" Date: Wed, 3 Apr 2024 11:41:22 +0800 Subject: [PATCH 21/23] Update alpha-lab/gaze-on-face/index.md --- alpha-lab/gaze-on-face/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/alpha-lab/gaze-on-face/index.md b/alpha-lab/gaze-on-face/index.md index ac969cc14..8c467ba99 100644 --- a/alpha-lab/gaze-on-face/index.md +++ b/alpha-lab/gaze-on-face/index.md @@ -1,5 +1,5 @@ --- -title: "Mapping Gaze Onto Facial Landmarks" +title: "Map Gaze Onto Facial Landmarks" description: "Map gaze onto facial landmarks using Pupil Cloud’s Face Mapper exported data." permalink: /alpha-lab/gaze-on-face/ meta: From 1f09602fc3e7dab971cece5a4a781c58ee97464f Mon Sep 17 00:00:00 2001 From: nadje Date: Wed, 3 Apr 2024 15:04:50 +0200 Subject: [PATCH 22/23] new video and landing page image --- alpha-lab/cards.json | 2 +- alpha-lab/gaze-on-face/barplot.png | Bin 101745 -> 104307 bytes alpha-lab/gaze-on-face/index.md | 4 ++-- alpha-lab/public/map-gaze-nadia.webp | Bin 0 -> 3165123 bytes 4 files changed, 3 insertions(+), 3 deletions(-) create mode 100644 alpha-lab/public/map-gaze-nadia.webp diff --git a/alpha-lab/cards.json b/alpha-lab/cards.json index c059e805b..74af71afd 100644 --- a/alpha-lab/cards.json +++ b/alpha-lab/cards.json @@ -114,6 +114,6 @@ "text": "View", "href": "/alpha-lab/gaze-on-face/" }, - "image": "/alpha-lab/gaze-on-face-landing.webp" + "image": "/alpha-lab/map-gaze-nadia.webp" } ] \ No newline at end of file diff --git a/alpha-lab/gaze-on-face/barplot.png b/alpha-lab/gaze-on-face/barplot.png index fa97da90d49aa6ee2d68cca276053ce9c0b210b9..bc59e24306a13d7548add0fa9a7d0ccdbe9eff89 100644 GIT binary patch literal 104307 zcmeFZWmMJc7d46>!<$kd*SE3PvC?CZ*0HfLF}E=>yuQ;;&&t}+-0TRyApb$$ zoi}Z4EUbkE1Wf3>GRlC|$V; zPw@NK>0Ml9_})Lieo1jr|M!Q}_r3`J{p+0(Pp8Q6$*<+C8)<)jVz~ACOzZZ)KW|XD z=(6nZ&v({(n*aUr)RljS*Z=)_HP8S3@c%n4zh~h8?w0?1i2fdhKe6TG?ZCht^Fw*e z+m7CR8gSI`tyRbO{U=Xqxa(*Py%e!Gd!4u9)~)V}_Ya#!-|B4HcJSJ%*Li1et>1F+ 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