Automated Recognition and Difficulty Assessment of Boulder Routes
| Autor: | Kyrill Schmid, Andre Ebert, Claudia Linnhoff-Popien, Chadly Marouane |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry 0202 electrical engineering electronic engineering information engineering Wearable computer 020206 networking & telecommunications 020207 software engineering 02 engineering and technology Artificial intelligence business Machine learning computer.software_genre computer |
| Zdroj: | Internet of Things (IoT) Technologies for HealthCare ISBN: 9783319762128 HealthyIoT |
| DOI: | 10.1007/978-3-319-76213-5_9 |
| Popis: | Due to fast distribution of powerful, portable processing devices and wearables, the development of learning-based IoT-applications for athletic or medical usage is accelerated. But besides the offering of quantitative features, such as counting repetitions or distances, there are only a few systems which provide qualitative services, e.g., detecting malpositions to avoid injuries or to optimize training success. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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