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Abstract
Symptoms caused by cerebral palsy or stroke deprive a person partially or even completely of his ability to move. Nowadays we can observe more technologically advanced rehabilitation devices which incorporate biofeedback into the process of rehabilitation of such people. However, there is still a lack of devices that would analyse, assess, and control (independently or with limited support) specialised movement exercises. Here we propose an idea of an automated exercise evaluation mechanism based on machine learning techniques, such as: support vector machines, decision trees, random forest, and k-nearest neighbours. While being only a preliminary case study, our research showed that with appropriate processing even a 100% accuracy score can be achieved in classifying whether an exercise is executed well or not.
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 2018 International Interdisciplinary PhD Workshop (IIPhDW) strony 323 - 325
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Pałkowski A., Redlarski G., RZYMAN G., Krawczuk M.: Basic evaluation of limb exercises based on electromyography and classification methods// 2018 International Interdisciplinary PhD Workshop (IIPhDW)/ : , 2018, s.323-325
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/iiphdw.2018.8388382
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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