Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China

Although the validity of the physical activity questionnaire is low, the questionnaire is still the most commonly used measurement tool for physical activity research in China in the past 10 years. In the era of big data, research in the field of physical activity in China needs to be more effective...

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Autores principales:	Hao Cui, Zhiqiang Peng
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/9a9297400ddf47b7bbb0b8951ad123d4
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id	oai:doaj.org-article:9a9297400ddf47b7bbb0b8951ad123d4
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spelling	oai:doaj.org-article:9a9297400ddf47b7bbb0b8951ad123d42021-11-15T01:20:06ZApplication of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China1875-905X10.1155/2021/1537389https://doaj.org/article/9a9297400ddf47b7bbb0b8951ad123d42021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1537389https://doaj.org/toc/1875-905XAlthough the validity of the physical activity questionnaire is low, the questionnaire is still the most commonly used measurement tool for physical activity research in China in the past 10 years. In the era of big data, research in the field of physical activity in China needs to be more effective, economical, convenient, and suitable for long-term, large-sample research tools. Acceleration detection technology, heart rate detection technology, and GPS technology are the mainstream technologies for measuring the energy consumption of physical activity in wearable devices. The application of data mining and machine learning methods further enhances the validity of the test. Domestic smart wearable devices are not effective in estimating energy consumption but still have a large space for technical improvement. Smart wearable devices have a very broad application prospect in the field of big data research in physical activity. The impact of smart wearable device technology and big data analysis methods on physical activity research will be far-reaching and may lead to major changes in research concepts, research tools, and data analysis methods.Hao CuiZhiqiang PengHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Hao Cui Zhiqiang Peng Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China
description	Although the validity of the physical activity questionnaire is low, the questionnaire is still the most commonly used measurement tool for physical activity research in China in the past 10 years. In the era of big data, research in the field of physical activity in China needs to be more effective, economical, convenient, and suitable for long-term, large-sample research tools. Acceleration detection technology, heart rate detection technology, and GPS technology are the mainstream technologies for measuring the energy consumption of physical activity in wearable devices. The application of data mining and machine learning methods further enhances the validity of the test. Domestic smart wearable devices are not effective in estimating energy consumption but still have a large space for technical improvement. Smart wearable devices have a very broad application prospect in the field of big data research in physical activity. The impact of smart wearable device technology and big data analysis methods on physical activity research will be far-reaching and may lead to major changes in research concepts, research tools, and data analysis methods.
format	article
author	Hao Cui Zhiqiang Peng
author_facet	Hao Cui Zhiqiang Peng
author_sort	Hao Cui
title	Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China
title_short	Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China
title_full	Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China
title_fullStr	Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China
title_full_unstemmed	Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China
title_sort	application of artificial intelligence wearable technology in the big data analysis of physical activity in china
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/9a9297400ddf47b7bbb0b8951ad123d4
work_keys_str_mv	AT haocui applicationofartificialintelligencewearabletechnologyinthebigdataanalysisofphysicalactivityinchina AT zhiqiangpeng applicationofartificialintelligencewearabletechnologyinthebigdataanalysisofphysicalactivityinchina
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Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China

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