Multimodal Data Fusion and Intention Recognition for Horse Riding Simulators
Pages 296 - 297
Abstract
For natural interaction, a substantial interactive process between human and simulator system must be provided. The process usually requires continuous intention recognition. In this paper, we present an intention recognition system through multimodal data fusion using multiple sensors in horse riding simulator environments. The system provides an effective interactive function based on the riding intention recognition. The system has adopted certain schemes for multimodal sensor data acquisition, multimodal feature extraction and fusion, and template matching. It is possible to provide a depth of expression and realistic interaction through recognition for the user's riding intentions.
References
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Y. Shinomiya, J. Nomura, Y. Yoshida, T. Kimura. 1997. Horseback Riding Therapy Simulator with VR Technology. In Proceedings of the ACM symposium on Virtual reality software and technology (Jun. 1997), 9--14.
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S. Kang, K. Kim, S. Chi, and J. Kim. 2014. Interaction Control for Postural Correction on a Riding Simulation System. In Proceedings of the 9th ACM / IEEE International Conference on Human-Robot Interaction (Mar. 2014). HRI 2014, 195--196.
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S. Ke, H. Thuc, J. Hwang, J. Yoo, and K. Choi. 2014. Human Action Recognition Based on 3D Human Modeling and Cyclic HMMs, ETRI Journal, vol. 36, no. 4, Aug. 2014, 662--672.
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S. Qu, J. Y. Chai. 2008. Beyond Attention: The Role of Deictic Gesture in Intention Recognition in Multimodal Conversational Interfaces. In Proceedings of the 13th international conference on Intelligent user interfaces (Jan. 2008), IUI'08, 237--246.
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A. M. Swinker. 2004. New Hampshire 4-H Horse Project Member's Manual, University of New Hampshire Cooperative Extension.
Index Terms
- Multimodal Data Fusion and Intention Recognition for Horse Riding Simulators
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Information & Contributors
Information
Published In
October 2015
321 pages
ISBN:9781450338462
DOI:10.1145/2837060
- Conference Chairs:
- Jongsup Choi,
- Sun Hwa Han,
- Joo-Yeoun Lee,
- Taeho Park,
- Editor:
- Aziz Nasridinov,
- Program Chairs:
- Carson K. Leung,
- Yoo-Sung Kim,
- Young-Koo Lee
Copyright © 2015 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 October 2015
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BigDAS '15
BigDAS '15: 2015 International Conference on Big Data Applications and Services
October 20 - 23, 2015
Jeju Island, Republic of Korea
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