Paper Info
Title
A Waypoint-Based Framework In Brain-Controlled Smart Home Environments: Brain Interfaces, Domotics, And Robotics Integration
Abstract
The noninvasive brain-machine interface (BMI) is anticipated to be an effective tool of communication not only in laboratory settings but also in our daily livings. The direct communication channel created by BMI can assist aging societies and the handicapped and improve human welfare. In this paper we propose and experiment a BMI framework that combines BMI with a robotic house and autonomous robotic wheelchair. Autonomous navigation is achieved by placing waypoints within the house and, from the user side, the user performs BMI to give commands to the house and wheelchair. The waypoint framework can offer essential services to the user with an effectively improved information-transfer rate and is an excellent examples of the fusion of data measured by sensors in the house, which can offer insight into further studies.
Year
Venue
Keywords
2013
2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
mobile robots,path planning,geriatrics,brain computer interfaces,home automation
Field
DocType
ISSN
Computer science,Brain–computer interface,Home automation,Control engineering,Human–computer interaction,Waypoint,Artificial intelligence,Robotics,Wheelchair,Motion planning,Communication channel,Mobile robot,Embedded system
Conference
2153-0858
Citations 
PageRank 
References 
8
0.59
15
Authors
9
Name
Order
Citations
PageRank
Atsunori Kanemura17512.78
Yoichi Morales Saiki2594.68
Motoaki Kawanabe31451118.86
Hiroshi Morioka4171.26
Nagasrikanth Kallakuri5342.02
Tetsushi Ikeda6959.94
Takahiro Miyashita740941.40
Norihiro Hagita82877259.10
Shin Ishii923934.39