Please use this identifier to cite or link to this item: https://doi.org/10.1142/S021819400500218X
Title: PDA based human motion recognition system
Authors: Leman, K. 
Ankit, G. 
Tan, T.
Keywords: Hu moments
Motion recognition
Personal digital assistants
Temporal templates
Issue Date: Apr-2005
Citation: Leman, K., Ankit, G., Tan, T. (2005-04). PDA based human motion recognition system. International Journal of Software Engineering and Knowledge Engineering 15 (2) : 199-204. ScholarBank@NUS Repository. https://doi.org/10.1142/S021819400500218X
Abstract: This paper describes the design and implementation of autonomous real-time motion recognition on a Personal Digital Assistant. All previous such applications have been non real-time and required user interaction. The motivation to use a PDA is to test the viability of performing complex video processing on an embedded platform. The application was constructed using a representation and recognition technique for identifying patterns using Hu Moments. The approach is based upon temporal templates (Motion Energy and History Images) and their matching in time. The implementation was done using Intel Integrated Performance Primitives functions in order to reduce the complexity of the application. Tests were conducted using 5 different motion actions like arm waving, walking from left and right of the camera, head tilting and bending forward. Suggestions were also made on how to improve the performance of the system and possible applications. © World Scientific Publishing Company.
Source Title: International Journal of Software Engineering and Knowledge Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/132706
ISSN: 02181940
DOI: 10.1142/S021819400500218X
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