Conf Proc IEEE Eng Med Biol Soc, 2014 · DOI: 10.1109/EMBC.2014.6945026 · Published: January 1, 2014
The study introduces a body-machine interface (BMI) that maps residual body movements of spinal cord injury (SCI) survivors to control assistive devices. The BMI uses inertial measurement units (IMUs) to track upper body motions, offering a more robust and less cumbersome alternative to previous designs based on infrared cameras. The interface includes a training program with diverse functional activities like reaching, typing, gaming, and virtual navigation to enhance motor learning and retention for operating computers and powered wheelchairs.
The BMI provides an alternative control pathway for individuals with motor disabilities, enabling them to operate computers, powered wheelchairs, and other assistive technologies.
The interface engages users in goal-directed physical activity, potentially preventing muscle atrophy and maintaining mobility, combining assistive and rehabilitation goals.
The training paradigm enhances motor learning and retention by incorporating diverse functional activities and promoting the reorganization of spared body movements.