Paper Info
Title
Continuous robot control using surface electromyography of atrophic muscles
Abstract
The development of new, light robotic systems has opened up a wealth of human-robot interaction applications. In particular, the use of robot manipulators as personal assistant for the disabled is realistic and affordable, but still requires research as to the brain-computer interface. Based on our previous work with tetraplegic individuals, we investigate the use of low-cost yet stable surface Electromyography (sEMG) interfaces for individuals with Spinal Muscular Atrophy (SMA), a disease leading to the death of neuronal cells in the anterior horn of the spinal cord; with sEMG, we can record remaining active muscle fibers. We show the ability of two individuals with SMA to actively control a robot in 3.5D continuously decoded through sEMG after a few minutes of training, allowing them to regain some independence in daily life. Although movement is not nearly as fast as natural, unimpaired movement, reach and grasp success rates are near 100% after 50s of movement.
Year
DOI
Venue
2013
10.1109/IROS.2013.6696449
Intelligent Robots and Systems
Keywords
Field
DocType
brain-computer interfaces,diseases,electromyography,handicapped aids,human-robot interaction,manipulators,medical robotics,SMA,active muscle fibers,anterior horn,atrophic muscles,brain-computer interface,continuous robot control,disabled,disease,human-robot interaction,light robotic systems,neuronal cells,personal assistant,robot manipulators,sEMG interfaces,spinal cord,spinal muscular atrophy,surface electromyography interfaces
SMA*,Computer vision,Robot control,GRASP,Computer science,Brain–computer interface,Electromyography,Spinal muscular atrophy,Artificial intelligence,Robot,Human–robot interaction
Conference
ISSN
Citations 
PageRank 
2153-0858
3
0.47
References 
Authors
11
3
Name
Order
Citations
PageRank
Jörn Vogel1116.48
Justin Bayer215732.38
Patrick van der Smagt318824.23