Predicting user actions in kinect using simple Markov assumption


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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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


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