Title :
A body machine interface based on inertial sensors
Author :
Farshchiansadegh, Ali ; Abdollahi, Farnaz ; Chen, D. ; Mei-Hua Lee ; Pedersen, Jay ; Pierella, Camilla ; Roth, Elliot J. ; Seanez Gonzalez, Ismael ; Thorp, Elias B. ; Mussa-Ivaldi, Ferdinando A.
Author_Institution :
Dept. of Biomed. Eng., Northwestern Univ., Evanston, IL, USA
Abstract :
Spinal cord injury (SCI) survivors generally retain residual motor and sensory functions, which provide them with the means to control assistive devices. A body-machine interface (BoMI) establishes a mapping from these residual body movements to control commands for an external device. In this study, we designed a BoMI to smooth the way for operating computers, powered wheelchairs and other assistive technologies after cervical spinal cord injuries. The interface design included a comprehensive training paradigm with a range of diverse functional activities to enhance motor learning and retention. Two groups of SCI survivors and healthy control subjects participated in the study. The results indicate the effectiveness of the developed system as an alternative pathway for individuals with motor disabilities to control assistive devices while engaging in functional motor activity.
Keywords :
assisted living; biomechanics; handicapped aids; injuries; learning (artificial intelligence); medical control systems; medical disorders; neurophysiology; sensors; user interfaces; wheelchairs; body machine interface; cervical spinal cord injuries; control assistive devices; functional motor activity; inertial sensors; motor disabilities; motor learning enhancement; motor retention enhancement; residual body movement mapping; wheelchairs; Aerospace electronics; Games; Injuries; Sensors; Spinal cord injury; Training; Wheelchairs;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6945026