Abstract
Wearable human-interactive devices have used in many application scenarios, such as medical, security, and fitness. With the emerging use of wearable sensors, they make it possible that people can monitor their physical data with accurate and reliable information in exercise, thereby ensuring exercise intensity within risk-free and moderate physical pressure. Heart rate was acquired by the photoplethysmography (PPG) module to evaluate Heart-rate recovery (HRR); this index regarded as the effectiveness of the aerobic exercise. Respiration could also be proposed as a marker of training intensity; the authors attempted using the non-invasive method to acquire the respiration rate in order to evaluate the strength of aerobic exercise. Global Position System (GPS) module was used to offer location information during and after sports, so as to provide and to match route information in intensity evaluation. In this study, the authors integrate three main signals (heart rate, respiration, and location information) into a fanny bag based on multimodal sensors and wireless transmission module. Moreover, we construct an online monitoring system for showing the signals during and after the aerobic exercise in order to help the athlete and the amateur to evaluate the intensity of aerobic exercise and the effectiveness of sports, and to improve their sports performance.
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Liu, Xy., Wang, Xw., Duan, Hq., Li, Gh., Zhou, My. (2020). Wireless Aerobic Exercise Monitoring System Based on Multimodal Sensors. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science(), vol 12198. Springer, Cham. https://doi.org/10.1007/978-3-030-49904-4_23
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