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공지사항
논문명 |
Gesture learning and recognition system using heterogeneous sensors for each body part |
구분 |
국내발표 |
저자 |
Yong Jin, Jisun Park, Yulong Xi, Seoungjae Cho, Kaisi Huang, Yunsick Sung, Kyungeun Cho |
국내/국외 |
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학술회의명 |
The International Conference on Big data, IoT, and Cloud Computing |
개최국가 |
대한민국 |
주관기관 |
|
게재일 |
2018.08 |
With the recent development of immersive interaction systems, a variety of applications based on gesture recognition that enable intuitive interaction are being developed. The most important aspect of gesture recognition technology is a high gesture recognition rate, which requires that the gestures be defined and learned in advance. However, the process of reediting data depending on the learning results is troublesome in most gesture recognition and learning systems. In this study, we propose a system that makes re-editing easier by visualizing the learning result according to the gesture learning results. Moreover, the proposed system enables more complex and precise gesture recognition by merging data from multi-sensors and processing them as one gesture. Experimental results from the system implementation show that the editing of visualized learning data was very intuitive and the average gesture recognition rate was 95%. |
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