Chewing Monitoring With Bone-Conduction Microphone for Body Area Network

The research described in the paper has developed a system for acquiring, processing, and analyzing the diet-related oral motors and the accompanying body movements, therefore realizes dietary activities monitor. It contains three parts, such as sensor node, mobile client, and server. The mentioned...

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Main Authors: Yuxuan Li, Wenhuan Lu, Yuqing He, Jianwu Dang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8723022/
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spelling doaj-1dbd3d7668da41a49b7f249aa0e91e312021-04-05T17:26:15ZengIEEEIEEE Access2169-35362019-01-017990779908510.1109/ACCESS.2019.29189888723022Chewing Monitoring With Bone-Conduction Microphone for Body Area NetworkYuxuan Li0https://orcid.org/0000-0002-7951-8907Wenhuan Lu1Yuqing He2Jianwu Dang3College of Intelligence and Computing, Tianjin University, Tianjin, ChinaCollege of Intelligence and Computing, Tianjin University, Tianjin, ChinaCollege of Intelligence and Computing, Tianjin University, Tianjin, ChinaCollege of Intelligence and Computing, Tianjin University, Tianjin, ChinaThe research described in the paper has developed a system for acquiring, processing, and analyzing the diet-related oral motors and the accompanying body movements, therefore realizes dietary activities monitor. It contains three parts, such as sensor node, mobile client, and server. The mentioned sound is defined as chewing, talking, coughing and silence, while the body movement states are classified as immobile or micro-move, walking, and running. The system is a wearable device that monitors the oral sound activities by recording of and the detection generated during the oral. It also includes an accelerometer to simultaneous records of human body. Bone-conduction microphone is adopted to collect the oral sounds for avoiding noise effects. Hardware system is developed based on special architecture, with respect to the balance between the computing cost, device size, power dissipation and network transmission load. The research proposes a new method to get MFCC coefficients. According to the order, it is assigned in the sensor and server to protect the private information and guarantee parallelism of the data collection and calculation. The oral sound bone-conduction sound database related diet activity is constructed as the training data for the system. Client software uses statistical methods to analyze the oral and body movements derived from it, therefore obtains the user's dietary laws. Through experiments, the optimal configuration parameters of the system are determined. The recognition rate is up to more than 90%. According to the modern medical researches on diet health, a corresponding system is designed and developed to give a quantitative assessment to the personal dietary laws, and visualize the corresponding information to provide users reasonable guidances.https://ieeexplore.ieee.org/document/8723022/Bone-conductionchewing monitoringchewing sound recognitiondietary lawsmobile client application
collection DOAJ
language English
format Article
sources DOAJ
author Yuxuan Li
Wenhuan Lu
Yuqing He
Jianwu Dang
spellingShingle Yuxuan Li
Wenhuan Lu
Yuqing He
Jianwu Dang
Chewing Monitoring With Bone-Conduction Microphone for Body Area Network
IEEE Access
Bone-conduction
chewing monitoring
chewing sound recognition
dietary laws
mobile client application
author_facet Yuxuan Li
Wenhuan Lu
Yuqing He
Jianwu Dang
author_sort Yuxuan Li
title Chewing Monitoring With Bone-Conduction Microphone for Body Area Network
title_short Chewing Monitoring With Bone-Conduction Microphone for Body Area Network
title_full Chewing Monitoring With Bone-Conduction Microphone for Body Area Network
title_fullStr Chewing Monitoring With Bone-Conduction Microphone for Body Area Network
title_full_unstemmed Chewing Monitoring With Bone-Conduction Microphone for Body Area Network
title_sort chewing monitoring with bone-conduction microphone for body area network
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description The research described in the paper has developed a system for acquiring, processing, and analyzing the diet-related oral motors and the accompanying body movements, therefore realizes dietary activities monitor. It contains three parts, such as sensor node, mobile client, and server. The mentioned sound is defined as chewing, talking, coughing and silence, while the body movement states are classified as immobile or micro-move, walking, and running. The system is a wearable device that monitors the oral sound activities by recording of and the detection generated during the oral. It also includes an accelerometer to simultaneous records of human body. Bone-conduction microphone is adopted to collect the oral sounds for avoiding noise effects. Hardware system is developed based on special architecture, with respect to the balance between the computing cost, device size, power dissipation and network transmission load. The research proposes a new method to get MFCC coefficients. According to the order, it is assigned in the sensor and server to protect the private information and guarantee parallelism of the data collection and calculation. The oral sound bone-conduction sound database related diet activity is constructed as the training data for the system. Client software uses statistical methods to analyze the oral and body movements derived from it, therefore obtains the user's dietary laws. Through experiments, the optimal configuration parameters of the system are determined. The recognition rate is up to more than 90%. According to the modern medical researches on diet health, a corresponding system is designed and developed to give a quantitative assessment to the personal dietary laws, and visualize the corresponding information to provide users reasonable guidances.
topic Bone-conduction
chewing monitoring
chewing sound recognition
dietary laws
mobile client application
url https://ieeexplore.ieee.org/document/8723022/
work_keys_str_mv AT yuxuanli chewingmonitoringwithboneconductionmicrophoneforbodyareanetwork
AT wenhuanlu chewingmonitoringwithboneconductionmicrophoneforbodyareanetwork
AT yuqinghe chewingmonitoringwithboneconductionmicrophoneforbodyareanetwork
AT jianwudang chewingmonitoringwithboneconductionmicrophoneforbodyareanetwork
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