Abstract
In order to reduce the incidence of disease and decrease the proportion of “sub-health”, exercise regularly is one of the most important factors to solve these problems. Regular exercise has many positive effects on body’s systems, while inappropriate forms of exercise can cause problems or even have adverse consequences for health. Therefore, this research aims to develop an ontology-driven knowledge-based system to dynamically generating personalized exercise programs. The generated plan exposing REST style web services, which can be accessed from any Internet-enabled device and deployed in cloud computing environments. To ensure the practicality of the generated exercise plans, encapsulated knowledge used as a basis for inference in the system is acquired from domain experts. Also, we integrate the system with wearable devices so that we can collect real-time data, for example, heart rate. In the future, break through the limitations of equipment, the accuracy and reliability can be promoted.
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Su, CJ., Tang, YT., Huang, SF., Li, Y. (2020). Ubiquitous Fitting: Ontology-Based Dynamic Exercise Program Generation. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_30
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DOI: https://doi.org/10.1007/978-3-030-20454-9_30
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