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Multi-Touch Interface by Depth Sensing Camera
깊이 인식 카메라를 이용한 멀티 터치 인터페이스

DC Field Value Language
dc.contributor.advisor방현우-
dc.contributor.author배재혁-
dc.date.accessioned2020-12-28T11:53:02Z-
dc.date.available2020-12-28T11:53:02Z-
dc.date.issued2012-
dc.identifier.other000000004360-
dc.identifier.urihttps://hdl.handle.net/10371/171400-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000004360ko_KR
dc.description.abstractDue to recent explosive development in smart devices, multi-touch
systems have been widely studied using various kinds of sensor
technologies. Computer vision is one of the key methods that transform
existing displays into multi-touchable ones. Owing to its hardware
independent algorithmic implementations, computer vision demonstrates
flexibility during diverse range of system integrations. On the other
hand, due to its massive computational loops dealing with
multi-dimensional arrays of pixels, multi-touch system that rely on
vision techniques suffers from expensive process burdens or high
latency issues. In this study, we utilized affordable depth sensing
cameras to solve the long existing problems of vision based multi-touch
systems. We proved the feasibility of our system through various user
interface applications then engineered the system into an intuitive
vehicle user interface for passengers by maximizing its sensitivity and
usability.
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dc.description.abstract최근 다양한 스마트 기기의 발전으로 멀티 터치 시스템에 대한
연구가 다양한 센서들을 활용하여 넓은 영역에서 연구되고 있다. 그
중 컴퓨터 영상 기술은 기존의 디스플레이를 멀티 터치 인터페이스
가 가능한 평면으로 변형시킬 수 있는 가능성을 제공한다. 이 방식
은 하드웨어로부터 독립적이고 알고리즘 기반의 구현이 가능하므로,
다양한 시스템에 대하여 유연하게 응용될 수 있다. 하지만 영상처리
는 다중 차원의 픽셀을 다루기 때문에 많은 양의 계산과정을 요구
하고 그로인해 이 기술에 의존하고 있는 멀티 터치 시스템은 프로
세스에 대한 부담과 시스템 지연을 겪고 있다. 이 연구에서는 일반
적으로 활용되는 깊이 인식 카메라를 사용하여 카메라 기반의 멀티
터치 시스템이 오랫동안 갖고 있던 문제점 해결해 보았다. 또한 개
발 된 시스템의 활용성을 증명하기 위해 다양한 사용자 인터페이스
응용프로그램을 개발하였다. 이를 바탕으로 이 시스템을 자동차 인
터페이스 개발에 적용하여 운전자와 동승자의 인터페이스 사용성을
극대화하는 연구를 최종적으로 실행 하였다.
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dc.description.tableofcontentsAbstract ·················································································· i
List of Contents ·································································· ii
List of Tables ····································································· iv
List of Figures ····································································· v
Chapter 1. Introduction ················································· 1
1.1. Related Works ················································································ 3
1.2. Problems ·························································································· 6
1.3. Motivation ··················································································· 10
1.4. Research outline ··········································································· 11
Chapter 2. System Description ·································· 13
2.1. Introduction ····················································································· 13
2.2. Advantages ······················································································ 15
2.3. Result ···························································································· 18
Chapter 3. Method ······················································ 19
3.1. Introduction ····················································································· 19
3.2. Depth Sensing Camera ·································································· 20
3.3. Software Structure ·········································································· 23
Chapter 4. Applications ·············································· 31
4.1. Introduction ····················································································· 31
4.2. Test Applications ··········································································· 32
4.3. Vehicle Application ······································································· 36
Chapter 5. Discussion ················································· 38
5.1. Introduction ····················································································· 38
5.2. Surface Calibration ········································································ 39
5.3. Error Problems ··············································································· 41
5.4. Hidden Finger Detection ······························································· 46
Chapter 6. Conclusion ·················································· 49
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dc.format.extentvi, 54-
dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subjectmulti-touch-
dc.subjecttouch user interface-
dc.subjectdepth sensing camera-
dc.subjecttouch screen-
dc.subjectinteractive surface-
dc.titleMulti-Touch Interface by Depth Sensing Camera-
dc.title.alternative깊이 인식 카메라를 이용한 멀티 터치 인터페이스-
dc.typeThesis-
dc.typeDissertation-
dc.contributor.AlternativeAuthorBae, Jaehyuck-
dc.contributor.department공과대학 기계항공공학부-
dc.description.degreeMaster-
dc.date.awarded2012-08-
dc.identifier.holdings000000000012▲000000000014▲000000004360▲-
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Theses (Master's Degree_기계항공공학부)
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