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Scaling Up Wearable Cognitive Assistance for Assembly Tasks- [electronic resource]
![Scaling Up Wearable Cognitive Assistance for Assembly Tasks - [electronic resource]](/Users/Baul/Images/book.png)
Scaling Up Wearable Cognitive Assistance for Assembly Tasks- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100347
- ISBN
- 9798379893132
- DDC
- 004
- 저자명
- Iyengar, Roger.
- 서명/저자
- Scaling Up Wearable Cognitive Assistance for Assembly Tasks - [electronic resource]
- 발행사항
- [S.l.]: : Carnegie Mellon University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(110 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
- 주기사항
- Advisor: Satyanarayanan, Mahadev.
- 학위논문주기
- Thesis (Ph.D.)--Carnegie Mellon University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Wearable Cognitive Assistance (WCA) applications run on wearable mobile devices, to provide guidance for real world tasks. Physical assembly tasks have been a significant focus of research on WCA. We introduce new techniques to support the development of WCA applications for more complex assembly tasks than previous techniques supported. In addition, our work reduces the load on developers creating WCA applications by eliminating the need to collect and label real training images. We accomplish this by training computer vision models on synthetically generated images. This dissertation investigates escalation to human experts in cases when a user is not satisfied with the automated guidance from an application. Lastly, we develop a new version of a software framework for WCA applications, and evaluate ways in which WCA applications can benefit from running computations directly on mobile devices.
- 일반주제명
- Computer science.
- 일반주제명
- Computer engineering.
- 키워드
- Mobile devices
- 키워드
- WCA applications
- 기타저자
- Carnegie Mellon University Computer Science
- 기본자료저록
- Dissertations Abstracts International. 85-01B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214100347
■006m o d
■007cr#unu||||||||
■020 ▼a9798379893132
■035 ▼a(MiAaPQ)AAI30426534
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aIyengar, Roger.
■24510▼aScaling Up Wearable Cognitive Assistance for Assembly Tasks▼h[electronic resource]
■260 ▼a[S.l.]:▼bCarnegie Mellon University. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(110 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-01, Section: B.
■500 ▼aAdvisor: Satyanarayanan, Mahadev.
■5021 ▼aThesis (Ph.D.)--Carnegie Mellon University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aWearable Cognitive Assistance (WCA) applications run on wearable mobile devices, to provide guidance for real world tasks. Physical assembly tasks have been a significant focus of research on WCA. We introduce new techniques to support the development of WCA applications for more complex assembly tasks than previous techniques supported. In addition, our work reduces the load on developers creating WCA applications by eliminating the need to collect and label real training images. We accomplish this by training computer vision models on synthetically generated images. This dissertation investigates escalation to human experts in cases when a user is not satisfied with the automated guidance from an application. Lastly, we develop a new version of a software framework for WCA applications, and evaluate ways in which WCA applications can benefit from running computations directly on mobile devices.
■590 ▼aSchool code: 0041.
■650 4▼aComputer science.
■650 4▼aComputer engineering.
■653 ▼aWearable Cognitive Assistance
■653 ▼aMobile devices
■653 ▼aSoftware framework
■653 ▼aWCA applications
■690 ▼a0984
■690 ▼a0464
■71020▼aCarnegie Mellon University▼bComputer Science.
■7730 ▼tDissertations Abstracts International▼g85-01B.
■773 ▼tDissertation Abstract International
■790 ▼a0041
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931913▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
