Automatic Food Intake Monitoring Based on Chewing Activity: A Survey

Good nutrition is essential for optimal growth, development, and prevention of disease. Due to the importance of nutrition in human life, researchers have been interested in understanding the science of assessing food intake episodes for decades. With the advancement of technology, automated food mo...
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Gespeichert in:

Autor*in:	Nur Asmiza Selamat [verfasserIn] Sawal Hamid Md. Ali [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Food intake monitoring automatic food intake detection chewing sensor chewing detection chewing classification chewing count

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 8(2020), Seite 48846-48869
Übergeordnetes Werk:	volume:8 ; year:2020 ; pages:48846-48869

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2020.2978260

Katalog-ID:	DOAJ052532593

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topic_facet	Food intake monitoring automatic food intake detection chewing sensor chewing detection chewing classification chewing count Electrical engineering. Electronics. Nuclear engineering
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callnumber-first	T - Technology
author	Nur Asmiza Selamat
spellingShingle	Nur Asmiza Selamat misc TK1-9971 misc Food intake monitoring misc automatic food intake detection misc chewing sensor misc chewing detection misc chewing classification misc chewing count misc Electrical engineering. Electronics. Nuclear engineering Automatic Food Intake Monitoring Based on Chewing Activity: A Survey
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topic_title	TK1-9971 Automatic Food Intake Monitoring Based on Chewing Activity: A Survey Food intake monitoring automatic food intake detection chewing sensor chewing detection chewing classification chewing count
topic	misc TK1-9971 misc Food intake monitoring misc automatic food intake detection misc chewing sensor misc chewing detection misc chewing classification misc chewing count misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Food intake monitoring misc automatic food intake detection misc chewing sensor misc chewing detection misc chewing classification misc chewing count misc Electrical engineering. Electronics. Nuclear engineering
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title	Automatic Food Intake Monitoring Based on Chewing Activity: A Survey
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title_sort	automatic food intake monitoring based on chewing activity: a survey
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title_auth	Automatic Food Intake Monitoring Based on Chewing Activity: A Survey
abstract	Good nutrition is essential for optimal growth, development, and prevention of disease. Due to the importance of nutrition in human life, researchers have been interested in understanding the science of assessing food intake episodes for decades. With the advancement of technology, automated food monitoring tool develops with the help of sensors to address issues related to self-reporting methods. Food monitoring technology is evolving rapidly due to the advancement of sensors; however, automatic monitoring of food intake remains open problems to be solved. For food intake episode detection and monitoring, the sensors used to detect bites, chew, swallow, and hand gestures movement. This survey will be focusing on chewing activity detection during eating episodes. In this survey, a wide range of chewing activity detection explored to outline the sensing design, classification methods, performances, chewing parameters, chewing data analysis as well as the challenges and limitations associated with them..
abstractGer	Good nutrition is essential for optimal growth, development, and prevention of disease. Due to the importance of nutrition in human life, researchers have been interested in understanding the science of assessing food intake episodes for decades. With the advancement of technology, automated food monitoring tool develops with the help of sensors to address issues related to self-reporting methods. Food monitoring technology is evolving rapidly due to the advancement of sensors; however, automatic monitoring of food intake remains open problems to be solved. For food intake episode detection and monitoring, the sensors used to detect bites, chew, swallow, and hand gestures movement. This survey will be focusing on chewing activity detection during eating episodes. In this survey, a wide range of chewing activity detection explored to outline the sensing design, classification methods, performances, chewing parameters, chewing data analysis as well as the challenges and limitations associated with them..
abstract_unstemmed	Good nutrition is essential for optimal growth, development, and prevention of disease. Due to the importance of nutrition in human life, researchers have been interested in understanding the science of assessing food intake episodes for decades. With the advancement of technology, automated food monitoring tool develops with the help of sensors to address issues related to self-reporting methods. Food monitoring technology is evolving rapidly due to the advancement of sensors; however, automatic monitoring of food intake remains open problems to be solved. For food intake episode detection and monitoring, the sensors used to detect bites, chew, swallow, and hand gestures movement. This survey will be focusing on chewing activity detection during eating episodes. In this survey, a wide range of chewing activity detection explored to outline the sensing design, classification methods, performances, chewing parameters, chewing data analysis as well as the challenges and limitations associated with them..
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title_short	Automatic Food Intake Monitoring Based on Chewing Activity: A Survey
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