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Conference Paper On the Riding Aids Recognition System for Horse Riding Simulators
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Authors
Sangseung Kang, Kyekyung Kim, Suyoung Chi
Issue Date
2016-02
Citation
International Conference on Systems (ICONS) 2016, pp.14-15
Language
English
Type
Conference Paper
Abstract
Riding aids are instruction signals from a rider to a horse in the horse riding. In this paper, we present a study on the riding aids recognition system for horse riding simulators using multimodal sensing data. The riding aids recognition system provides an effective interactive function based on the riding intentions. The system has three types of sensors including vision, voice, and touch sensors. It has adopted certain schemes for multimodal data acquisition, feature extraction, data fusion, template matching, and intention classification. The system can provide recognition means for a riding aid so as to provide sense of reality such as actual horse riding to the user.
KSP Keywords
Data Acquisition(DAQ), Data fusion, Feature extractioN, Horse Riding, Multimodal sensing, Recognition system, Riding AIDS, Sense of reality, Sensing data, Template matching, multimodal data