Please use this identifier to cite or link to this item: https://doi.org/10.1142/S021819400500218X
DC FieldValue
dc.titlePDA based human motion recognition system
dc.contributor.authorLeman, K.
dc.contributor.authorAnkit, G.
dc.contributor.authorTan, T.
dc.date.accessioned2016-12-13T05:35:34Z
dc.date.available2016-12-13T05:35:34Z
dc.date.issued2005-04
dc.identifier.citationLeman, 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
dc.identifier.issn02181940
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/132706
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1142/S021819400500218X
dc.sourceScopus
dc.subjectHu moments
dc.subjectMotion recognition
dc.subjectPersonal digital assistants
dc.subjectTemporal templates
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.1142/S021819400500218X
dc.description.sourcetitleInternational Journal of Software Engineering and Knowledge Engineering
dc.description.volume15
dc.description.issue2
dc.description.page199-204
dc.description.codenISEKE
dc.identifier.isiut000229454100011
Appears in Collections:Staff Publications

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