earticle

논문검색

세션 II: MR-IoT융합 인공지능 기술

머리의 위치를 이용한 제스처 구별 방법 제안

원문정보

Proposal of Gesture Identification Method Using Head Position

Hyeong-Min Kim, Seok-Hee Lee, Eun-Jee Song

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

In recent years, virtual reality contents are increasingly using data gloves instead of dedicated controllers. From the contents using this, the GUI elements of the existing virtual reality contents are borrowed, or the UI is implemented by directly manipulating objects such as buttons or levers. This is familiar to users of existing systems, but has disadvantages such as obscuring the view due to objects. However, when using a data glove, you can also use a method of implementing a UI by making a gesture with your hand. Among them, gestures that take a specific shape with a finger may have different meanings depending on the position of the hand even if they have the same shape. In this paper, we propose a method to classify gestures using the head position.

목차

Abstract
1. 서론
2. 제안연구
3. 실험
3.1. 설계
3.2. 제스처 설정
3.3. 구현
3.4. 결과
5. 결론
Acknowledgement
References

저자정보

  • Hyeong-Min Kim Department of Virtual/Augmented Reality Graduate School, Namseoul University Cheonan, Korea
  • Seok-Hee Lee Department of Computer Science Namseoul University Cheonan, Korea
  • Eun-Jee Song Department of Computer Science Namseoul University Cheonan, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      0개의 논문이 장바구니에 담겼습니다.