Abstract
With the population aging in most of the developed countries, using robot for health care and related service industry is of increasing importance in recent years. This paper describes the design and development of a 3D stereo vision-based [1] nursing robot for elderly health care home. It focuses on presenting a novel image segmentation method, and an innovative and effective method of locating the facial features, which include the two nose points, for reliable mouth detection. A 3D stereo vision-based method for determining the 3D position of the mouth is also described. Experimental results are discussed.
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References
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G.H. Sim, M. C. Yap, S. G. Ong: Development of a 3D stereo vision-based nursing robot. FYP Project report (December 1999). 130
S. Bhuvaneshwary, D. Oh: Image segmentation and 3D depth determination for nursing robot. FYP Project report (June 2000).
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© 2001 Springer-Verlag Berlin Heidelberg
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Ching, WS., Ho, E., Ong, C., Tay, H., Sai-Mui, L. (2001). 3D Stereo Vision-Based Nursing Robot for Elderly Health Care. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_16
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DOI: https://doi.org/10.1007/3-540-44690-7_16
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