A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection

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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Bibliographic Details
Main Authors: Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom, Sampe, Jahariah
Format: Article
Published: Institute of Electrical and Electronics Engineers 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100267/

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