A robust classification scheme for detection of food intake through non-invasive monitoring of chewing
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6320834/6345844/06347090.pdf?arnumber=6347090
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Integrated image and sensor-based food intake detection in free-living;Scientific Reports;2024-01-18
2. Filtering Influential Features for Adolescent Positive Mental Health;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15
3. A Novel Peak Detection Algorithm Using Particle Swarm Optimization for Chew Count Estimation of a Contactless Chewing Detection;IEEE Transactions on Instrumentation and Measurement;2022
4. Autism Spectrum Disorder Detection Based on Wavelet Transform of BOLD fMRI Signals Using Pre-trained Convolution Neural Network;International Journal of Integrated Engineering;2021-07-31
5. A Novel Approach of Chewing Detection based on Temporalis Muscle Movement using Proximity Sensor for Diet Monitoring;2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES);2021-03-01
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