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Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion.

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Τίτλος: Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion.
Συγγραφείς: Zhou, Xinliang, Wen, Shantian
Πηγή: Journal of Sensors; 1/10/2022, p1-12, 12p
Θεματικοί όροι: Multisensor data fusion, Requirements engineering, Structural design, Mathematical optimization, Software architecture, Electronic data processing
Περίληψη: In this paper, multiple sensors are used to track human physiological parameters during physical exercise, and data information fusion technology is used to extract useful information for monitoring and analyzing the effects of physical exercise. This paper explores the interaction and developmental dynamics of multisensor information fusion technology and physical exercise data monitoring based on the interrelationship and interpenetration between the two. The design ideas and principles that should be followed for the software designed in this study are discussed from the perspective of the portable design of measurement instruments and the perspective of multisensor information fusion, and then, the overall architecture and each functional module are studied to propose a scientific and reasonable design model. The general methodological model to be followed for the development of this resource is designed, and the basic development process of the model is explained and discussed, especially the requirement analysis and structural design, and how to build the development environment are explained in detail; secondly, based on the course unit development process in this model, we clarify the limitations of the system through meticulous analysis of the measurement results, which provides a solid foundation for the next step of system optimization. Finally, with a focus on future development, we elaborate on the potential possible role and development trend of multisensor information fusion in the future period. In this paper, we propose to apply the multisensor data fusion algorithm to the monitoring, analysis, and evaluation of the effect of physical exercise, by collecting multiple human physiological parameters during physical exercise through multiple sensors and performing data fusion processing on the collected physiological parameters to finally evaluate the effect of physical exercise. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Sensors is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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DbLabel: Complementary Index
An: 154591839
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 915.911437988281
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Xinliang%22">Zhou, Xinliang</searchLink><br /><searchLink fieldCode="AR" term="%22Wen%2C+Shantian%22">Wen, Shantian</searchLink>
– Name: TitleSource
  Label: Source
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  Data: Journal of Sensors; 1/10/2022, p1-12, 12p
– Name: Subject
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  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Multisensor+data+fusion%22">Multisensor data fusion</searchLink><br /><searchLink fieldCode="DE" term="%22Requirements+engineering%22">Requirements engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+design%22">Structural design</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, multiple sensors are used to track human physiological parameters during physical exercise, and data information fusion technology is used to extract useful information for monitoring and analyzing the effects of physical exercise. This paper explores the interaction and developmental dynamics of multisensor information fusion technology and physical exercise data monitoring based on the interrelationship and interpenetration between the two. The design ideas and principles that should be followed for the software designed in this study are discussed from the perspective of the portable design of measurement instruments and the perspective of multisensor information fusion, and then, the overall architecture and each functional module are studied to propose a scientific and reasonable design model. The general methodological model to be followed for the development of this resource is designed, and the basic development process of the model is explained and discussed, especially the requirement analysis and structural design, and how to build the development environment are explained in detail; secondly, based on the course unit development process in this model, we clarify the limitations of the system through meticulous analysis of the measurement results, which provides a solid foundation for the next step of system optimization. Finally, with a focus on future development, we elaborate on the potential possible role and development trend of multisensor information fusion in the future period. In this paper, we propose to apply the multisensor data fusion algorithm to the monitoring, analysis, and evaluation of the effect of physical exercise, by collecting multiple human physiological parameters during physical exercise through multiple sensors and performing data fusion processing on the collected physiological parameters to finally evaluate the effect of physical exercise. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Sensors is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2022/4199985
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Multisensor data fusion
        Type: general
      – SubjectFull: Requirements engineering
        Type: general
      – SubjectFull: Structural design
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Software architecture
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
    Titles:
      – TitleFull: Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion.
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            NameFull: Zhou, Xinliang
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            NameFull: Wen, Shantian
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          Dates:
            – D: 10
              M: 01
              Text: 1/10/2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 1687725X
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            – TitleFull: Journal of Sensors
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