Using wearable motion sensors to recognise human gestures

Using wearable motion sensors to recognise human gestures

<Abstract>
The recent advance of mobile devices embeds a large range of sensing technologies which turns them into powerful computing devices. These latest wireless sensor nodes, such as Sun SPOT designed by Sun Microsystem, inspired us to develop a framework that supports the recognition of human actions from wearable devices. In this talk, we are going to demonstrate our progress of this on-going project in the Sensing Ubiquity and Mobility Lab at University of Melbourne. We will discus the challenges of this project, our approach to address these requirements and possible HCI applications in the future.

<About the presenters>
Peng Deng is a final year student from Department of Computer Science and Software Engineering, University of Melbourne. He is working on his final year project with supervisor Dr Lars Kulik. His research interests include wireless sensor network, RFID, ubiquitous computing and human computer interaction.

Qifeng Mao is a final year student from Department of Computer Science and Software Engineering, University of Melbourne. He is working on his final year project with supervisor Dr Lars Kulik. His research interests include mobile computing, enterprise information system and human computer interaction.

Project repository: http://code.google.com/p/wearblesensornetwork/

svn checkout http://wearblesensornetwork.googlecode.com/svn/trunk/

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