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<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Mechanical Engineering</JournalTitle>
				<Issn>2008-6032</Issn>
				<Volume>54</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>05</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Design, Manufacturing, and Test of a Wearable Device to Monitor Athlete's Body Movements</ArticleTitle>
<VernacularTitle>Design, Manufacturing, and Test of a Wearable Device to Monitor Athlete&#039;s Body Movements</VernacularTitle>
			<FirstPage>671</FirstPage>
			<LastPage>686</LastPage>
			<ELocationID EIdType="pii">4608</ELocationID>
			
<ELocationID EIdType="doi">10.22060/mej.2021.19790.7112</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Sadeghiyan</LastName>
<Affiliation>Department of Mechanical Engineering
Univeristy of Isfahan</Affiliation>

</Author>
<Author>
					<FirstName>Hamed</FirstName>
					<LastName>Shahbazi</LastName>
<Affiliation>Department of Mechanical Engineering 
University of Isfahan</Affiliation>

</Author>
<Author>
					<FirstName>Shahram</FirstName>
					<LastName>Hadian</LastName>
<Affiliation>Department of Mechanical Engineering</Affiliation>

</Author>
<Author>
					<FirstName>Peyman</FirstName>
					<LastName>Norouzi</LastName>
<Affiliation>Department of Mechanical engineering, Univrtsity of Isfahan</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>03</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, a device based on wearable sensors is introduced to describe quantitative body movements in different sports. This device can be an alternative to Image processing techniques. Image processing devices have always been used to describe quantitative body movements, which in addition to being costly, have to be used in specific conditions. The device is built from a number of wireless modules that are easy to use in real-world environments with no limitations. In this method, a quantitative description of movement is made by wireless modules and is performed by the data collected from these modules. In order to analyze the data that was extracted from an athlete&#039;s body movements with these wearable sensors, the outputs are simulated in Matlab, and some of its kinematic and kinetic parameters have been studied. Then, at the end of this paper, the quality of movement of a professional athlete and a beginner athlete are compared, and the result is shown. Kinematic and dynamic analyzes on the above activities showed the following results: The movements are generally correctly recorded. The kinematic analyzes performed for the various movements are consistent with the facts. For example, the kinematic analysis of the recorded motions showed that the coaching movement was more beautifully performed, and this was evident qualitatively during the movement.</Abstract>
			<OtherAbstract Language="FA">In this paper, a device based on wearable sensors is introduced to describe quantitative body movements in different sports. This device can be an alternative to Image processing techniques. Image processing devices have always been used to describe quantitative body movements, which in addition to being costly, have to be used in specific conditions. The device is built from a number of wireless modules that are easy to use in real-world environments with no limitations. In this method, a quantitative description of movement is made by wireless modules and is performed by the data collected from these modules. In order to analyze the data that was extracted from an athlete&#039;s body movements with these wearable sensors, the outputs are simulated in Matlab, and some of its kinematic and kinetic parameters have been studied. Then, at the end of this paper, the quality of movement of a professional athlete and a beginner athlete are compared, and the result is shown. Kinematic and dynamic analyzes on the above activities showed the following results: The movements are generally correctly recorded. The kinematic analyzes performed for the various movements are consistent with the facts. For example, the kinematic analysis of the recorded motions showed that the coaching movement was more beautifully performed, and this was evident qualitatively during the movement.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Torque</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Wearable sensor</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Gateway analyze</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">body movement simulation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Quantity evaluation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://mej.aut.ac.ir/article_4608_35478ca9a2d68eb304123deca43d77d0.pdf</ArchiveCopySource>
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