In this project we propose a Random Forest-based approach for hand Gesture Recognition evaluating different feature extraction procedures to handle gestures and data with different duration.
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Updated
Jan 11, 2022 - MATLAB
In this project we propose a Random Forest-based approach for hand Gesture Recognition evaluating different feature extraction procedures to handle gestures and data with different duration.
Advanced Python toolkit for motion capture data: C3D file interpretation, Cardan-to-Quaternion conversion, and machine learning dataset generation.
Motion detection based on Pythagorean-distance between consecutive frames & standard deviation of the frame.
All my research findings, code and papers are available here
Publish PoseNet data from one page to another in the same browser.
Creating a game in which the player physically interacts with a board in front of a screen with camera.
A low-latency real-time sonification pipeline for joint action research.
Alpine based docker container of Motion (https://motion-project.github.io/)
Serve OptiTrack data from a CSV file to a WebSocket connection
A hardware design(PCB only) for SlimeVR Tracker
Motion detection using OpenCV and plotting the time interval of motion detection using Bokeh
Verification of static and dynamic marker positions
Example for using Theia Markerless with the QTM Project Automation Framework
Final project repository for Summer 2017 REU @ Clemson University.
Control actions by gestures
A rerun plugin and tools for 3D animation
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