lu, huaitian (2019) A Lower Limb Specialized Motor Intent Recognition System Using Neural Networks. Master's Thesis / Essay, Artificial Intelligence.
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Abstract
Lower-limb amputees experience a high cognitive load when using their prostheses. A system that could promptly recognize their motor intents could reduce their cognitive load; the research in this MSc project aims to show that artificial neural network techniques could realize such a system and help in reducing the cognitive load of lower-limb amputees. Various neural networks as classifiers have been applied to state-of-the-art kinematic data, obtained using inertial measurement units (IMUs), of healthy subjects to recognize his/her motor intent.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Supervisor name: | Carloni, R. and Schomaker, L.R.B. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 31 Aug 2019 |
| Last Modified: | 11 Jun 2021 12:38 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/20885 |
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