Gesture recognition using MATLAB There are specifically 4 files, namely
- Images
- Myo Armband Codes
- Automated Code
- Psychtoolbox Code
The Image folder contains all the images that were shown to the subject when the data was being collected.
The Myo Arm Band Code folder conatins all the Necessary codes required to connect the myo armband to MATLAB - Coded by Celal Savur (MABL, RIT)
Automated code refers to the code that was being used real-time to detect the gesture.
Psychtoolbox code refers to the code that was constructed to perform data collection.
The automated code includes the availability of models, but these models are not included as those were created specific to the subject.
for further details please contact Akash Saha (as7933@rit.edu) ; Srinath Ramachandran (sxr3455@rit.edu) ; Karthik Sivarama Krishnan (ks7585@rit.edu)
All code is provided for research purposes only and without any warranty. Any commercial use requires our consent. When using the code in your research work, please cite the following paper:
@INPROCEEDINGS{8250154,
author={K. S. Krishnan and A. Saha and S. Ramachandran and S. Kumar},
booktitle={2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)},
title={Recognition of human arm gestures using Myo armband for the game of hand cricket},
year={2017},
volume={},
number={},
pages={389-394},
keywords={Electromyography;Feature extraction;Games;Gesture recognition;Muscles;Robot sensing systems;Support vector machines;Classification;EMG;Gesture Recognition;Hand Cricket;Myo;Support Vector Machine (SVM)},
doi={10.1109/IRIS.2017.8250154},
ISSN={},
month={Oct},}