Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music
This research proposes a music-adaptive IoT exercise system integrating edge computing and blockchain technology to enhance middle-distance running exercise. The system personalizes music tempo based on real-time biosignals to provide a tailored experience. Experiments demonstrate that adaptive musi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10403916/ |
| _version_ | 1797338506782048256 |
|---|---|
| author | Yi Chen Chung-Chiang Chen Li-Chuan Tang Wei-Hua Chieng |
| author_facet | Yi Chen Chung-Chiang Chen Li-Chuan Tang Wei-Hua Chieng |
| author_sort | Yi Chen |
| collection | DOAJ |
| description | This research proposes a music-adaptive IoT exercise system integrating edge computing and blockchain technology to enhance middle-distance running exercise. The system personalizes music tempo based on real-time biosignals to provide a tailored experience. Experiments demonstrate that adaptive music significantly augments users’ physiological, psychological, and behavioral responses compared to no music, improving engagement and effectiveness. The system overcomes limitations in existing solutions regarding personalization, real-time adaptation, and data privacy. Edge computing enables on-device processing, and blockchain encryption guarantees security. Results highlight the benefits of HR adaptive running music for arousal, pleasure, and performance. This study offers insights into designing personalized, rewarding exercise systems using emerging technologies. It has promising implications for exercise, rehabilitation, and recreational fitness. Further work should investigate specific mechanisms and long-term impacts, integrate additional signals and music parameters, and enhance security. In conclusion, this innovative system combines IoT, adaptive music, edge computing, and blockchain to unlock new possibilities in exercise experiences. |
| first_indexed | 2024-03-08T09:32:15Z |
| format | Article |
| id | doaj.art-bb2cf9427cd844b78636b4b1bc677ee5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T09:32:15Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bb2cf9427cd844b78636b4b1bc677ee52024-01-31T00:00:59ZengIEEEIEEE Access2169-35362024-01-0112141681418110.1109/ACCESS.2024.335579210403916Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running MusicYi Chen0https://orcid.org/0000-0003-0937-1759Chung-Chiang Chen1Li-Chuan Tang2Wei-Hua Chieng3Department of Mechanical Engineering, National Yang Ming Chiao Tung University, Hsinchu, TaiwanOffice of Physical Education, National Yang Ming Chiao Tung University, Hsinchu, TaiwanDepartment of Mechanical Engineering, National Yang Ming Chiao Tung University, Hsinchu, TaiwanDepartment of Mechanical Engineering, National Yang Ming Chiao Tung University, Hsinchu, TaiwanThis research proposes a music-adaptive IoT exercise system integrating edge computing and blockchain technology to enhance middle-distance running exercise. The system personalizes music tempo based on real-time biosignals to provide a tailored experience. Experiments demonstrate that adaptive music significantly augments users’ physiological, psychological, and behavioral responses compared to no music, improving engagement and effectiveness. The system overcomes limitations in existing solutions regarding personalization, real-time adaptation, and data privacy. Edge computing enables on-device processing, and blockchain encryption guarantees security. Results highlight the benefits of HR adaptive running music for arousal, pleasure, and performance. This study offers insights into designing personalized, rewarding exercise systems using emerging technologies. It has promising implications for exercise, rehabilitation, and recreational fitness. Further work should investigate specific mechanisms and long-term impacts, integrate additional signals and music parameters, and enhance security. In conclusion, this innovative system combines IoT, adaptive music, edge computing, and blockchain to unlock new possibilities in exercise experiences.https://ieeexplore.ieee.org/document/10403916/IoT exercise systemadaptive musicblockchaindata privacysecret sharing |
| spellingShingle | Yi Chen Chung-Chiang Chen Li-Chuan Tang Wei-Hua Chieng Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music IEEE Access IoT exercise system adaptive music blockchain data privacy secret sharing |
| title | Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music |
| title_full | Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music |
| title_fullStr | Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music |
| title_full_unstemmed | Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music |
| title_short | Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music |
| title_sort | enhancing running exercise with iot blockchain and heart rate adaptive running music |
| topic | IoT exercise system adaptive music blockchain data privacy secret sharing |
| url | https://ieeexplore.ieee.org/document/10403916/ |
| work_keys_str_mv | AT yichen enhancingrunningexercisewithiotblockchainandheartrateadaptiverunningmusic AT chungchiangchen enhancingrunningexercisewithiotblockchainandheartrateadaptiverunningmusic AT lichuantang enhancingrunningexercisewithiotblockchainandheartrateadaptiverunningmusic AT weihuachieng enhancingrunningexercisewithiotblockchainandheartrateadaptiverunningmusic |