Sensor Based Arm Rehabilitation for Post Stroke Patients

Kabir, Ridwan; Ehsan, Mohaimin

dc.contributor.author	Kabir, Ridwan
dc.contributor.author	Ehsan, Mohaimin
dc.date.accessioned	2021-10-06T04:55:07Z
dc.date.available	2021-10-06T04:55:07Z
dc.date.issued	2017-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/1093
dc.description	Supervised by Hasan Mahmud, Assistant Professor, Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh.	en_US
dc.description.abstract	Noise free data obtained from devices used to track human motion can be used to determine the position, orientation and motion of various parts of human body specially the limbs. These data can be used to determine a proper therapeutic intervention for those people, who face difficulties in moving the different limbs. In our research, we present a method to derive data from sensors like IMU (Inertial Measurement Unit) and Flex sensors and map them to determine the position and orientation of human arm in real time. This will help therapists to ensure proper, accurate and efficient therapeutic intervention for arm rehabilitation of post stroke patients through visualization. The visualization includes a human arm model in 3D space whose position and orientation is determined through forward kinematics using the Denavit-Hartenberg Convention and 3D transformation and rotation	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.subject	Assistive technology, HCI, Therapeutic Intervention, Stroke Patients, Arm Rehabilitation.	en_US
dc.title	Sensor Based Arm Rehabilitation for Post Stroke Patients	en_US
dc.type	Thesis	en_US