Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/70457
Title: Head gestures recognition
Authors: Ng, P.C.
De Silva, L.C. 
Issue Date: 2001
Source: Ng, P.C.,De Silva, L.C. (2001). Head gestures recognition. IEEE International Conference on Image Processing 3 : 266-269. ScholarBank@NUS Repository.
Abstract: In this paper we describe a system that automatically detects and recognizes human head gestures such as nodding and shaking in complex background conditions using a cheap Web Cam under uncontrolled conditions. The images of the head, captured at 20 frames per second, are very noisy and are of a low resolution. In the proposed system, the invariant moments of each image captured is extracted and is fed into a recognition system that uses discrete Hidden Markov Models (HMMs) to classify the head gestures. The system achieves an average success rate of 87%. The system can successfully run on any low to high end PC connected to a USB Web Cam without any manual initialization.
Source Title: IEEE International Conference on Image Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/70457
Appears in Collections:Staff Publications

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