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Hotspots Integrating of Expert and Beginner Experiences of Machine Operations through Egocentric Vision

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationInternational Conference on Machine Vision Applications
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-4-901122-18-4
DOIs
DateAccepted/In press - 22 Mar 2019
DateE-pub ahead of print (current) - 11 Jul 2019
EventInternational Conference on Machine Vision Applications - Tokyo, Japan
Duration: 27 May 201931 May 2019
Conference number: 16
http://www.mva-org.jp/mva2019/

Conference

ConferenceInternational Conference on Machine Vision Applications
Abbreviated titleMVA
CountryJapan
CityTokyo
Period27/05/1931/05/19
Internet address

Abstract

Beginners can often provide useful information regarding machine operations, e.g., how difficult a specific operation is or how beginners deal with difficulties. However, their experiences oftentimes widely vary, and it is difficult to summarize these diverse experiences in an extensive way. To try and solve this problem, this study focused on developing a framework for integrating beginners' and experts' experiences into a unified operation model. A baseline model was first obtained based on hand{machine interactions automatically extracted from experts' egocentric vision records. Then, the beginners' behaviours were integrated by dynamically aligning them to the baseline model. Through this process, an integrated model based on the experiences of a wide range of users was achieved. We applied our method to the operation experiences of two tabletop devices, an IH heater and a sewing machine. The results show good potentials in modelling the common and different behaviours among experts and beginners.

    Research areas

  • computer vision, human computer interaction, sewing machines, mechanical engineering computing

Event

International Conference on Machine Vision Applications

Abbreviated titleMVA
Conference number16
Duration27 May 201931 May 2019
CityTokyo
CountryJapan
Web address (URL)
Degree of recognitionInternational event

Event: Conference

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Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8758043. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4 MB, PDF document

DOI

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