- Project made at Los Angeles Computing Circle summer program to detect elderly restroom falls without needing visual information of the interior of the restroom.
- Utilized Gabor Filters to extract information from 2D Channel State Information
- Used Support Vector Machine Classification model with Python to detect elderly restroom falls and determine the type of action inside the restroom with an accuracy of 80%.
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