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A Lower Limb Specialized Motor Intent Recognition System Using Neural Networks

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: http://fse.studenttheses.ub.rug.nl/id/eprint/20885

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