Citation

Ari Mukti, Fanji and Wong, Chee Onn (2013) Predicting user actions in kinect using simple Markov assumption. In: 2013 International Conference on Informatics and Creative Multimedia (ICICM). IEEE, pp. 143-146. ISBN 978-0-7695-5133-3

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Abstract

This paper proposed a combination of gesture recognition system using Kinect camera and user's action prediction using a Markov model that makes use of user's pattern of action sequences. Prediction of future action will help the user speed up while doing a task and potentially avoid an error. The system will record the user chain of command and created a transition probability matrix that will calculate the probability of a command appearing after a certain command is executed. The system has the advantage of no training needed and adaptable with the user habit after a certain amount of time. The proposed system was tested with Kinect using an Image Previewing program and proves to be working.

Item Type:	Book Section
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI) Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	17 Dec 2014 03:55
Last Modified:	17 Dec 2014 03:55
URII:	http://shdl.mmu.edu.my/id/eprint/5845

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