Transactions of the Society of Instrument and Control Engineers
Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654
Paper
Multi-modal Gesture Recognition Using Integrated Model of Motion, Audio and Video
Yusuke GOUTSUTakaki KOBAYASHIJunya OBARAIkuo KUSAJIMAKazunari TAKEICHIWataru TAKANOYoshihiko NAKAMURA
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2015 Volume 51 Issue 6 Pages 390-399

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Abstract
Gesture recognition is used in many practical applications such as human-robot interaction, medical rehabilitation and sign language. With increasing motion sensor development, multiple data sources have become available, which leads to the rise of multi-modal gesture recognition. Since our previous approach to gesture recognition depends on a unimodal system, it was difficult to classify similar motion patterns. In order to solve this problem, a novel approach which integrates motion, audio and video models is proposed in the present paper by using dataset captured with Kinect. The proposed system can recognize observed gestures by using three models. Recognition results of three models are integrated by using the proposed framework and the output becomes the final result. The motion and audio models are constructed by using Hidden Markov Model. Random Forest which is the video classifier is used to learn the video model. In the experiments to test the performances of the proposed system, the motion and audio models most suitable for gesture recognition are chosen by varying feature vector and learning method. Additionally, the unimodal and multi-modal models are compared with respect to recognition accuracy. All the experiments are conducted on dataset provided by the competition organizer of MMGRC, which is a workshop for Multi-Modal Gesture Recognition Challenge. The comparison results show that the multi-modal model composed of three models scores the highest recognition rate. This improvement of recognition accuracy means that the complementary relationship among three models improves the accuracy of gesture recognition.
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© 2015 The Society of Instrument and Control Engineers
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