Digit Gesture Recognition
A Project By Yifei Xu.
My project, digit gesture recognition, is designed to recognize gestures of digits from 0 – 5. This project is based on Raspberry Pi, when the camera captures the image that contains the figure of hand, the machine learning algorithm will predict the digit and print it on the screen with the figure of hand that is selected automatically.
I have tested this program in different illuminating situations and found that it has enough robustness to solve lighting problems. The closer the hand to the camera, the higher accuracy it can be. When the hand is further to the camera, there is a little chance that the algorithm mis-recognizes the number 4 to number 5.
This version of the project can predict digit 0 to 5 and has more than 92% accuracy. I didn’t take the picture of number 7 because it is represented by different gestures in different cultures and countries. Adding number 7, 8, 9 works for the current model but it would lower the test accuracy with current number of training data. It will take longer time to collect enough data(pictures) and increase the number of features that mapping to each figure of hand to maintain the accuracy, which may slow the running speed and has some differences to achieve real time display.
yx459@cornell.edu
Designed the overall project and test it (Just being himself).
Code of project from github