Sensor Based Arm Rehabilitation for Post Stroke Patients
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Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh
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
Description
Supervised by
Hasan Mahmud,
Assistant Professor,
Department of Computer Science and Engineering (CSE),
Islamic University of Technology (IUT),
Board Bazar, Gazipur-1704, Bangladesh.
Keywords
Assistive technology, HCI, Therapeutic Intervention, Stroke Patients, Arm Rehabilitation.
Citation
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