One shot learning gesture recognition with Kinect sensor

Wu, Di, Zhu, Fan, Shao, Ling and Zhang, Hui (2012) One shot learning gesture recognition with Kinect sensor. In: ACMMM 2012 - 20th Anniversary ACM Multimedia Conference, 29th October - 2nd November 2012, Nara, Japan.

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Abstract

Gestures are both natural and intuitive for Human-Computer-Interaction (HCI) and the one-shot learning scenario is one of the real world situations in terms of gesture recognition problems. In this demo, we present a hand gesture recognition system using the Kinect sensor, which addresses the problem of one-shot learning gesture recognition with a user-defined training and testing system. Such a system can behave like a remote control where the user can allocate a specific function using a prefered gesture by performing it only once. To adopt the gesture recognition framework, the system first automatically segments an action sequence into atomic tokens, and then adopts the Extended-Motion-History-Image (Extended-MHI) for motion feature representation. We evaluate the performance of our system quantitatively in Chalearn Gesture Challenge, and apply it to a virtual one shot learning gesture recognition system.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	One Shot Learning, Hand Gesture Recognition, Human-Computer-Interaction, RGBD Camera
Subjects:	G400 Computer Science G700 Artificial Intelligence
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	16 Jun 2015 14:16
Last Modified:	13 Oct 2019 00:32
URI:	http://nrl.northumbria.ac.uk/id/eprint/22958

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