Rehabilitation application development using wearable body motion capture sensors
Nowadays, a lot of researches have been done on rehabilitation of neuron disease patients. Several of motion capture techniques have been applied in the rehabilitation process. This project is mainly focus on development of a wearable rehabilitation device using motion capture sensors. In this proje...
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sg-ntu-dr.10356-455922023-03-04T18:55:18Z Rehabilitation application development using wearable body motion capture sensors Tan, Yong Seng. Yeo Song Huat School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Bio-mechatronics Nowadays, a lot of researches have been done on rehabilitation of neuron disease patients. Several of motion capture techniques have been applied in the rehabilitation process. This project is mainly focus on development of a wearable rehabilitation device using motion capture sensors. In this project, inertia motion capture system is used and tactors are used as feedback devices to human body. Inertia motion capture system is chosen due to its features of lightweight, high accuracy, small in size, and ability to connect wirelessly with computer interface, these features allow inertia motion capture device wearable on human body. Bachelor of Engineering (Mechanical Engineering) 2011-06-15T06:13:01Z 2011-06-15T06:13:01Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45592 en Nanyang Technological University 95 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering::Bio-mechatronics Tan, Yong Seng. Rehabilitation application development using wearable body motion capture sensors |
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Nowadays, a lot of researches have been done on rehabilitation of neuron disease patients. Several of motion capture techniques have been applied in the rehabilitation process. This project is mainly focus on development of a wearable rehabilitation device using motion capture sensors. In this project, inertia motion capture system is used and tactors are used as feedback devices to human body. Inertia motion capture system is chosen due to its features of lightweight, high accuracy, small in size, and ability to connect wirelessly with computer interface, these features allow inertia motion capture device wearable on human body. |
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Yeo Song Huat |
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Yeo Song Huat Tan, Yong Seng. |
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Final Year Project |
author |
Tan, Yong Seng. |
author_sort |
Tan, Yong Seng. |
title |
Rehabilitation application development using wearable body motion capture sensors |
title_short |
Rehabilitation application development using wearable body motion capture sensors |
title_full |
Rehabilitation application development using wearable body motion capture sensors |
title_fullStr |
Rehabilitation application development using wearable body motion capture sensors |
title_full_unstemmed |
Rehabilitation application development using wearable body motion capture sensors |
title_sort |
rehabilitation application development using wearable body motion capture sensors |
publishDate |
2011 |
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http://hdl.handle.net/10356/45592 |
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1759855397625135104 |