Mid-Distance Running Exercise Assistance System via IoT and Exercise-oriented Music

Yi Chen*, Chung Chiang Chen, Li Chuan Tang, Wei Hua Chieng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This study explores the effectiveness of a music-assisted IoT exercise system specifically designed for mid-distance running. The primary objectives are to augment the sports experience, facilitate recovery, and surpass the benefits provided by existing solutions. This system ensures a personalized experience through real-time music tempo adaptation according to the heart rate (HR), exercise tracking, customizable music selection, adjustable parameters, and voice recognition technology for effortless completion of questionnaires. In our findings, we observed a significant interaction (p <0.05) in terms of Condition × Exercise Stage for HR, Rating of Perceived Exertion (RPE), Feeling Scale (FS), and Felt Arousal Scale (FAS). It suggests that exercise-oriented music considerably impacts physiological (HR), perceptual (RPE), and affective (FS, FAS) responses. Furthermore, tailored and enjoyable exercise experiences lead to an increase in positive arousal and a decrease in fatigue. The music-assisted IoT exercise system demonstrates potential as an efficacious instrument for promoting physical activity and enhancing health outcomes. Future work will concentrate on further exploring the impact of music on exercise performance and recovery, investigating other musical parameters, integrating sensors for capturing behavioral responses, and enhancing data privacy and security through blockchain technology.

Original languageEnglish
Title of host publication2023 IEEE World AI IoT Congress, AIIoT 2023
EditorsSatyajit Chakrabarti, Rajashree Paul
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages264-272
Number of pages9
ISBN (Electronic)9798350337617
DOIs
StatePublished - 2023
Event2023 IEEE World AI IoT Congress, AIIoT 2023 - Virtual, Online, United States
Duration: 7 Jun 202310 Jun 2023

Publication series

Name2023 IEEE World AI IoT Congress, AIIoT 2023

Conference

Conference2023 IEEE World AI IoT Congress, AIIoT 2023
Country/TerritoryUnited States
CityVirtual, Online
Period7/06/2310/06/23

Keywords

  • exercise-oriented music
  • Feeling Scale
  • Felt Arousal Scale
  • IoT exercise system
  • rating of perceived exertion

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