A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection
This article uses a proximity sensor to perform noncontact-based (sensing) chewing activity detection, capturing the temporalis muscle movement during food intake. The proposed approach is validated using data from a larger number of participants, 20, and different food types, eight. The proposed ch...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100267/ https://ieeexplore.ieee.org/document/9942809 |
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