Tooth brushing Recognition using Neural Networks
Hua Huang, Shan Lin · 2017
Daily toothbrushing is essential for maintaining oral health. Recently, a wrist-watch based system was designed to monitor the effectiveness of toothbrushing at home [3]. Since toothbrushing involves complex motions of the hand and the toothbrush, advanced machine learning techniques are needed for accurate recognition. In this paper, we design a neural network classifier to recognize toothbrushing surfaces based on wrist watch sensor data, including accelerometer, gyroscope and magnetometer data. Experiments shows that our algorithm successfully recognized toothbrushing surfaces with a recognition precision of 91.2%, outperforming existing solutions.