A Novel Myo-Based Hybrid Neural Network for Tooth Brushing Monitoring
Author:
Affiliation:
1. Beihang Hangzhou Innovation Institute Yuhang, Beihang University Xixi Octagon City, Yuhang District,Hangzhou,China,310023
2. The 5th Affiliated Hospital of Zunyi Medical University (Zhuhai), Zhufeng Street #1439, Doumen,Zhuhai,China,519100
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10189429/10189430/10189486.pdf?arnumber=10189486
Reference29 articles.
1. Toothbrushing recognition using neural networks;huang;2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI),2017
2. Toothbrushing region detection using three-axis accelerometer and magnetic sensor;lee;IEEE Transactions on Biomedical Engineering,2011
3. Preliminary investigation on using deep learning to evaluate toothbrushing performance with smartphone audio;korpela,2016
4. Brush like a Dentist: Accurate Monitoring of Toothbrushing via Wrist-Worn Gesture Sensing
5. Toothbrush motion analysis to help children learn proper tooth brushing
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