AI for Health – Knowledge-Based Generation of Tailor-Made Exercise Plans
| Autor: | Florian Grigoleit, Peter Struss, Florian Kreuzpointner |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
Knowledge representation and reasoning Computer science business.industry Health knowledge 030204 cardiovascular system & hematology Constraint satisfaction 03 medical and health sciences 0302 clinical medicine Domain knowledge 030212 general & internal medicine business Knowledge-based configuration Formal representation |
| Zdroj: | Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices ISBN: 9783030557881 IEA/AIE |
| DOI: | 10.1007/978-3-030-55789-8_43 |
| Popis: | There is an increasing awareness of the essential impact of physical exercising on health. Properly planning such activities requires knowledge about prerequisites and impact of different exercises and selecting those that reflect all relevant physical properties of the individual and contextual conditions. Otherwise, exercising may not only be ineffective, but even harmful to health. We developed an app for the generation of tailor-made exercise plans using techniques from knowledge-based configuration and consistency-based diagnosis. The paper focuses on presenting the systematic and formal representation of the domain knowledge and its exploitation by a generic configuration algorithm. |
| Databáze: | OpenAIRE |
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