Brain-robot control interface: Development and application
Journal
2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
Date Issued
2014
Author(s)
Abstract
Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely. ? 2014 IEEE.
Subjects
Anthropomorphic robots
Bioinformatics
Assistive technology
Control interfaces
Development and applications
Event related desynchronization
Humanoid robot
Personal assistants
Unstructured environments
User intention
Brain computer interface
Type
conference paper