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Real-Time Hand Gesture Recognition with Temporal Muscle Activation Maps

This repository containes the source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation (TMA) maps of multi-channel surface electromyography (sEMG) signals, which was published in the ICASSP 2020 paper Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel Semg Signals. An application of this work -- wearable wireless dry contact sEMG sensor system for controlling digital technologies -- received an honorable mention (ranked among top 15 projects in the world) at the IEEE Communication Society Student Competition 2019.

If you use this code/paper for your research, please cite the following paper:

@INPROCEEDINGS{9054227,  
author={A. D. {Silva} and M. V. {Perera} and K. {Wickramasinghe} and A. M. {Naim} and T. {Dulantha Lalitharatne} and S. L. {Kappel}},  booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},  
title={Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel Semg Signals},   
year={2020},  
volume={},  
number={},  
pages={1299-1303},}

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

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Installing

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And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Running the tests

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And coding style tests

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Deployment

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Built With

• Dropwizard - The web framework used
• Maven - Dependency Management
• ROME - Used to generate RSS Feeds

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• Billie Thompson - Initial work - PurpleBooth

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Hat tip to anyone whose code was used
• Inspiration
• etc