The message notification for patients care system using hand gestures recognition
Mahasak Ketcham, Vassana Inmoonnoy · 2017
This paper proposes to presents a hand gesture recognition as an assistive tool for patients care. The system uses Haar-like feature, Adaboost algorithm and Cascade Classification for hand detection. Principal Component Analysis work together with Histogram of Oriented Gradients and hand gesture decision to achieve preferable results of hand gesture recognition. Hand detection accuracy achieves 91.88 percent and sensitivity succeeds 95.75 percent.