This week I made modifications (using help from https://medium.com/datadriveninvestor/understanding-and-implementing-the-viola-jones-image-classification-algorithm-85621f7fe20b) to the facial detection code and retrained the model to create a strong classifier comprising of 75 features. The results were very promising. I achieved 95% accuracy and live testing produced good results. Below is sample output:
Next week, the focus will be solely on raised hand detection. Everything is almost in place and we just need to fine tune algorithms to get higher accuracies.