DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Hahn, Min-Soo | - |
dc.contributor.advisor | 한민수 | - |
dc.contributor.author | Lee, Jae-Seon | - |
dc.contributor.author | 이재선 | - |
dc.date.accessioned | 2011-12-30 | - |
dc.date.available | 2011-12-30 | - |
dc.date.issued | 2006 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392681&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/55489 | - |
dc.description | 학위논문(석사) - 한국정보통신대학교 : 공학부, 2006.6, [ vii, 86 p. ] | - |
dc.description.abstract | In this thesis, I designed and implemented the 3D Sensor Table to sense the movement of bare-hand over the screen. This involved choosing the appropriate tracking methods, designing the hardware, and finally developing algorithms to determine the location and classify the posture of bare-hand. The hardware was designed so that the electric field sensing technique was used to get information of the movement of bare-hand. The algorithms used in this system were designed and implemented to best locate the position and recognize the posture of bare-hand. The 3D Sensor Table can detect the motion of bare-hand in the spaces 20 ~ 30 cm away from the screen and can classify simple postures of hand such as straight-hand, fist-hand, and knife-hand posture. This system can be used for the three-dimensional graphical applications through bare-hand and also, can be used for the 2D graphical applications seamlessly. In contrast to vision-based systems, the 3D Sensor Table does not suffer from lighting condition, background complexity problems, and etc. | eng |
dc.language | eng | - |
dc.publisher | 한국정보통신대학교 | - |
dc.subject | Hand-posture recognition | - |
dc.subject | Bare-hand tracking | - |
dc.subject | EMF | - |
dc.subject | proximity sensing | - |
dc.subject | 근접도 감지 | - |
dc.subject | 손모양 인식 | - |
dc.subject | 맨손 트랙킹 | - |
dc.subject | 전자기유도 | - |
dc.title | The 3D sensor table | - |
dc.title.alternative | 3차원 센서테이블 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 392681/225023 | - |
dc.description.department | 한국정보통신대학교 : 공학부, | - |
dc.identifier.uid | 020034608 | - |
dc.contributor.localauthor | Hahn, Min-Soo | - |
dc.contributor.localauthor | 한민수 | - |
dc.title.subtitle | bare-hand tracking and posture recognition for human-computer interaction | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.