DocumentCode
719811
Title
Robo chair assistance with obstacle detection using head gesture
Author
Manikpure, Shraddha ; Bankar, Rushikesh T. ; Salankar, Suresh S.
Author_Institution
G. H. Raisoni Coll. of Eng., Nagpur, India
fYear
2015
fDate
28-30 May 2015
Firstpage
1454
Lastpage
1458
Abstract
The need of many users or individuals with disabilities can be satisfied with traditional or manual or powered wheelchairs. The disabled users or individuals find it difficult or impossible to use the wheelchairs. The goal of our proposed intelligent system is to design and develop a system that allows the user to interact with the wheelchair at the different levels of the control, sensing and obstacle detection. Gesture Recognition means to recognize meaningful expressions of motion by a human, involving hands, face, arm, head, and or body. In this paper, we provide a review on gesture recognition with particular emphasis on head gestures and facial expressions. The system applications involve face detection, face tracking, gesture recognition, and obstacle detection. The obstacle detecting ultrasonic sensor attached to the robo chair in front which provides the safe navigation. The LCD also attached on the top which gives the user / individual friendly interface.
Keywords
biomedical ultrasonics; body sensor networks; emotion recognition; face recognition; handicapped aids; human computer interaction; medical disorders; medical robotics; ultrasonic devices; LCD; face detection; face tracking; facial expressions; gesture recognition; head gesture; manual wheelchairs; obstacle detection; powered wheelchairs; robo chair assistance; traditional wheelchairs; ultrasonic sensor; user-individual friendly interface; Face; Face detection; Face recognition; Magnetic heads; Robot sensing systems; Wheelchairs; Face Recognition; Face Tracking; Head Gestures; Obstacle avoidance;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Instrumentation and Control (ICIC), 2015 International Conference on
Conference_Location
Pune
Type
conf
DOI
10.1109/IIC.2015.7150978
Filename
7150978
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