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

Chen, Yi; Chen, Chung-Chiang; Tang, Li‐Chuan; Chieng, Wei-Hua

doi:10.1109/aiiot58121.2023.10174324

Cited by 2 publications

(8 citation statements)

References 57 publications

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“…Including these studies that measured RPE across a variety of PIMS adds ecological validity to our results. Chen et al (2023) findings are in line with previous works, suggesting that self-selected music has a significant bearing on RPE, principally explained by music functioning as a distractor from unpleasant emotions and fatigue-related sensations during submaximal exercise (Terry et al, 2020).…”

Section: Discussionsupporting

confidence: 92%

“…However, this estimate is reported, for the most part, due to one study by Van Der Vlist et al (2011) who used the moBeat system. In this cluster, an additional study by Chen et al (2023) was also favourable, although a smaller effect size estimate was reported. Both Van Der Vlist et al (2011) and Chen et al (2023) used a control condition of no music, which may cause an overestimate of the overall effect.…”

Section: Discussionmentioning

confidence: 80%

“…Accordingly, the results of the reviewed studies present a mixed picture regarding the review’s main research question. For instance, Alter et al (2015) and Chen et al (2023) report significant improvements in physical activity levels and positive affect due to PIMS interventions. In contrast, Rehfeld et al (2022) Van Der Vlist et al (2011) did not observe a significant reduction in RPE, although there were improvements in mood and motivation.…”

Section: Discussionmentioning

confidence: 99%

“…The PIMS examined for RPE were not shown to have a significant effect in terms of reducing perceived exertion (Figure 5); however, the near-significant effect size estimate ( g = 0.72, p = 0.10) warrants discussion. This meta-analytic cluster included three studies, but only Chen et al (2023) reported a significant effect of PIMS on reducing RPE. Both Rehfeld et al (2022) and Van Der Vlist et al (2011) did not report significant effects on RPE when compared to control conditions.…”

Section: Discussionmentioning

confidence: 99%

“…Van Der Vlist et al (2011) reported participants’ RPE as lower using moBeat compared to a reference system; however, this was not a statistically significant result. Chen et al (2023) reported significant effects of their PIMS on RPE across several time points (0, 2, 6, 8, 10 minutes), and was the only study to monitor RPE across time. The study found considerable differences in RPE starting from the two-minute time point.…”

Section: Discussionmentioning

confidence: 99%

See 4 more Smart Citations

Personalised interactive music systems for physical activity and exercise: A systematic review and exploratory meta-analysis

Danso,

Kekalainen,

Koehler

et al. 2024

Preprint

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The use of Personalised Interactive Music Systems (PIMS) may provide benefits in promoting physical activity levels. This systematic review and meta-analysis was conducted to assess the overall impact of PIMS in physical activity and exercise domains. Separate random effects meta-analyses were conducted for outcomes in physical activity levels, physical exertion, rate of perceived exertion (RPE), and affect. In total, 18 studies were identified. Of these, six studies (with 17 total intervention arms) reported data on at least one outcome of interest, from which an effect size could be calculated. PIMS were significantly associated with beneficial changes in physical activity levels (g = 0.49, CI [0.07, 0.91], p = 0.02, k = 4, n = 76) and affect (g = 1.68, CI [0.15, 3.20], p = 0.03, k = 4, n = 122). However, no significant benefit of PIMS use was found for RPE (g = 0.72, CI [- 0.14, 1.59], p = 0.10, k = 3, n = 77) or physical exertion (g = 0.79, CI [-0.64, 2.10], p = 0.28, k = 5, n = 142). Overall, results support the preliminary use of PIMS across a variety of physical activities to promote physical activity levels and positive affect.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Personalised interactive music systems for physical activity and exercise: A systematic review and exploratory meta-analysis

Danso,

Kekalainen,

Koehler

et al. 2024

Preprint

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Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music

Chen,

Tang

et al. 2024

IEEE Access

Self Cite

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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.

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

Cited by 2 publications

References 57 publications

Personalised interactive music systems for physical activity and exercise: A systematic review and exploratory meta-analysis

Personalised interactive music systems for physical activity and exercise: A systematic review and exploratory meta-analysis

Enhancing Running Exercise With IoT, Blockchain, and Heart Rate Adaptive Running Music

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