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PDA BASED HUMAN MOTION RECOGNITION SYSTEM

Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore

National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore

Garg Ankit graduated in July 2004 from the Electrical and Computer Engineering Department of the National University of Singapore. He is now working with the Standard Chartered Bank, Singapore.

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T. TAN

Curtin University of Technology, GPO Box U1987, Perth, Western Australia 6845, Australia

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https://doi.org/10.1142/S021819400500218XCited by:4 (Source: Crossref)

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.

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References

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Vol. 15, No. 02

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PDA BASED HUMAN MOTION RECOGNITION SYSTEM

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