Automated hand gesture recognition for educational applications
Vangjel Kazllarof, Stamatis Karlos, Angeliki-Panagiota Panagopoulou, Sotiris B. Kotsiantis · 2016
Introduction of new schemes for recognizing hand gestures is an active research field related with these of Machine Learning (ML) and Human Computer Interaction (HCI). Numerous applications can be integrated with such automated algorithms for facilitating either more advanced or less experienced users inside their working or educational environment. A simple method for hand gesture recognition tasks is presented here, using effective enough methods for extracting the final training data and Random Forest learner for prediction. The contribution of this work is the low-dimensionality of the final dataset, based on well-known feature metrics and the high level of accuracy that is achieved using cheap enough equipment, being affordable both for personal use and for more academic activities or online courses.