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| 책임교수 | 조경은 |
|---|---|
| 논문명 | Automated Space Classification for Network Robots in Ubiquitous Environments |
| 논문종류 | SCI |
| 제1저자 | Jiwon Choi |
| 교신저자 | 조경은 |
| 공동저자 | Seoungjae Cho Phuong Chu, Hoang Vu, Kyhyun Um, Kyungeun Cho |
| Impact Factor | 1.182 |
| 개제학술지명 | Journal of Sensors |
| Keyword | |
| 게재일 | 2015 년 08 월 |
Concomitant with the advent of the ubiquitous era, research into better human computer interaction (HCI) for human-focused interfaces has intensified. Natural user interface (NUI), in particular, is being actively investigated with the objective of more intuitive and simpler interaction between humans and computers. However, developing NUI-based applications without special NUI-related knowledge is difficult. This paper proposes a NUI-specific SDK, called “Gesture SDK,” for development of NUI-based applications. Gesture SDK provides a gesture generator with which developers can directly define gestures. Further, a “Gesture Recognition Component” is provided that enables defined gestures to be recognized by applications. We generated gestures using the proposed SDK and developed a “Smart Interior,” NUI-based application using the Gesture Recognition Component. The results of experiments conducted indicate that the recognition rate of the generated gestures was 96% on average.
*ITRC 기여율=1
*ITRC 기여율=1
