Paper Info
Title
Cognitive-Motor Processes During Arm Reaching Performance Through a Human Body-Machine Interface
Abstract
Head controlled based systems represent a class of human body-machine interfaces that employ head motion to control an external device. Overall, the related work has focused on technical developments with limited user performance assessments while generally ignoring the underlying motor learning and cognitive processes. Thus, this study examined, during and after practice, the cognitive-motor states of users when controlling a robotic arm with limited head motion under various control modalities. As a first step, two groups having a different degree of control of the arm directions were considered. The preliminary results revealed that both groups: (i) similarly improved their reaching performance during practice; (ii) provided, after practice, a similar performance generalization while still relying on visual feedback and (iii) exhibited similar cognitive workload. This work can inform the human cognitive-motor processes during learning and performance of arm reaching movements as well as develop rehabilitation systems for disabled individuals.
Year
DOI
Venue
2015
10.1007/978-3-319-20816-9_36
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
Cognitive-motor performance,Arm reaching movements,Motor practice and learning,Cognitive workload,Human body-machine interface,Robotic arm,Motor rehabilitation
Modalities,Motor rehabilitation,Rehabilitation,Robotic arm,Motor processes,Motor learning,Computer science,Cognitive workload,Physical medicine and rehabilitation,Cognition
Conference
Volume
ISSN
Citations 
9183
0302-9743
0
PageRank 
References 
Authors
0.34
14
5
Name
Order
Citations
PageRank
Rodolphe J. Gentili1247.92
Isabelle M. Shuggi210.70
Kristen M. King300.34
Hyuk Oh4215.07
Patricia A. Shewokis518421.15