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- W2955462092 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." @default.
- W2955462092 created "2019-07-12" @default.
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- W2955462092 date "2019-06-11" @default.
- W2955462092 modified "2023-09-27" @default.
- W2955462092 title "Ubiquitous Fitting: Ontology-Based Dynamic Exercise Program Generation" @default.
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- W2955462092 doi "https://doi.org/10.1007/978-3-030-20454-9_30" @default.
- W2955462092 hasPublicationYear "2019" @default.
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