Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2011.18B.6.333

Detection of Gaze Direction for the Hearing-impaired in the Intelligent Space  

Oh, Young-Joon (숭실대학교 미디어학과)
Hong, Kwang-Jin (숭실대학교 글로벌미디어학부)
Kim, Jong-In (숭실대학교 미디어학과)
Jung, Kee-Chul (숭실대학교 IT대학 글로벌미디어학부)
Publication Information
The KIPS Transactions:PartB / v.18B, no.6, 2011 , pp. 333-340 More about this Journal
Abstract
The Human-Computer Interaction(HCI) is a study of the method for interaction between human and computers that merges the ergonomics and the information technology. The intelligent space, which is a part of the HCI, is an important area to provide effective user interface for the disabled, who are alienated from the information-oriented society. In the intelligent space for the disabled, the method supporting information depends on types of disability. In this paper, we only support the hearing-impaired. It is material to the gaze direction detection method because it is very efficient information provide method to present information on gazing direction point, except for the information provide location perception method through directly contact with the hearing-impaired. We proposed the gaze direction detection method must be necessary in order to provide the residence life application to the hearing-impaired like this. The proposed method detects the region of the user from multi-view camera images, generates candidates for directions of gaze for horizontal and vertical from each camera, and calculates the gaze direction of the user through the comparison with the size of each candidate. In experimental results, the proposed method showed high detection rate with gaze direction and foot sensing rate with user's position, and showed the performance possibility of the scenario for the disabled.
Keywords
The Disabled; Gaze Detection; Intelligent Space; Histogram; Color Segmentation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Y. Ishii, H. Hongo and K. Yamamoto, "Real-Time Face and Head Detection using Four Directional Features," Proceedings of the 6th IEEE International Conference on Automatic Face and Gesture Recognition, pp.403-408, 2004.
2 H. Hongo, M. Yasumoto, Y. Niwa and K. Yamamoto, "Combination of Face Direction Estimation and Face Recognition Using Four-Directional Features," Proceeding of the 5th Asian Conference on Computer Vision, Vol.2, pp.737-742, 2002
3 C. Wu and H. Aghajan, "Head pose and trajectory recovery in uncalibrated camera networks - Region of interest tracking in smart home applications," Proceedings of the 2nd ACM/IEEE International Conference on Distributed Smart Cameras, pp.1-7, 2008.
4 공병용, 정도준, 김항준, "실내 환경에서 시선 방향을 고려한 사람 행동 인식", 대한전기학회 2007 CICS 정보 및 제어 학술대회, pp.119-120, 2007.
5 Y. Matsumoto, T. Ogsawara and T. Ino, "Development of intelligent wheelchair system with face and gaze based interface," Proceeding of the 10th IEEE International Workshop on Robot and Interactive Communication, pp.262-267, 2001.
6 C. Mandel and U. Frese, "Comparison of Wheelchair User Interfaces for the Paralysed: Head-Joystick vs. Verbal Path Selection from an offered Route-Set," Proceedings of the 3rd European Conference on Mobile Robots, 2007.
7 정명진，김재헌，이영진，유동현, "척수 장애인의 HCI를 위한 시선방향 추적 시스템", 서비스 로봇 워크샵, pp.183-192, 2001.
8 T. P. Spexard, M. Hanheide and G. Sagerer, "Human-oriented Interaction with an Anthropomorphic Robot," IEEE Transactions on Robotics, Vol.23, No.5, pp.852-862, 2007.   DOI   ScienceOn
9 윤태현, "2차원 교차영역과 Visual hull을 이용한 실제-가상 객체 간 고속 3차원 충돌 감지 알고리즘", 숭실대학교 대학원 석사논문, 2010.
10 Y. Oh, J. Kim, T. Yoon and K. Jung, "Face Detection From Four Captured Images Related To Intelligent Room For The Deaf," Proceeding of the 1st International Conference on Smart IT Applications, Vol.11, pp.1-5, 2009.
11 김종배, 김항준, "모델 기반의 SVM을 이용한 시선 방향 추정", 대한전기학회 2007 CICS 정보 및 제어 학술대회, pp.121-122, 2007.   과학기술학회마을
12 R. A. Brooks, "Intelligence without reason," Proceeding of the 9th International Joint Conference on Artificial Intelligence, pp.569-595, 1991.
13 R. A. Brooks, D. Dang, J. D. Bonet, J. Kramer, J. Mellor, P. Pook, C. Stauffer, L. Stein, M. Torrance and M. Wessler, "Intelligent Room Project," Proceedings of the 2nd International Cognitive Technology, pp.271-279, 1997.