ACM Home Page
Please provide us with feedback. Feedback
Vision based GUI for interactive mobile robots
Full text PdfPdf (278 KB)
Source International Conference on Intelligent User Interfaces archive
Proceedings of the 10th international conference on Intelligent user interfaces table of contents
San Diego, California, USA
SESSION: Short papers: human-robot interaction table of contents
Pages: 254 - 256  
Year of Publication: 2005
ISBN:1-58113-894-6
Authors
Randeep Singh  Indian Institute of Technology Bombay, Mumbai, India
Bhartendu Seth  Indian Institute of Technology Bombay, Mumbai, India
Uday B. Desai  Indian Institute of Technology Bombay, Mumbai, India
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 48,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1040830.1040887
What is a DOI?

ABSTRACT

Interactive mobile robots are an active area of research. This paper presents a framework for designing a real-time vision based hand-body gesture user interface for such robots. The said framework works in real world lighting conditions, with complex background, and can handle intermittent motion of the camera. The input signal is captured by using a singular monocular color camera. Vision is the only feedback sensor being used. It is assumed that the gesturer is wearing clothes that are slightly different from the background. We have tested this framework on a gesture database consisting of 11 hand-body gestures and have recorded recognition accuracy up to 90%.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
Billard, A., "Robota: Clever Toy and Educational Tool," Robotics & Autonomous Systems, 42, pp. 259--269, 2003.
 
3
Kim J. G., Chang H., Kim J. W., and Kim H., "Efficient camera motion characterization for mpeg video indexing," Proceedings of 2000 IEEE International Conference on Multimedia and Expo., pp. 1171--1174, New York, NY, July 2000.
 
4
 
5
 
6


Collaborative Colleagues:
Randeep Singh: colleagues
Bhartendu Seth: colleagues
Uday B. Desai: colleagues