Human Activity Recognition : Deep learning techniques for an upper body exercise classification system
Most research behind the use of Machine Learning models in the field of Human Activity Recognition focuses mainly on the classification of daily human activities and aerobic exercises. In this study, we focus on the use of 1 accelerometer and 2 gyroscope sensors to build a Deep Learning classifier t...
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| Format: | Others |
| Language: | English |
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Högskolan Kristianstad, Fakulteten för naturvetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19410 |