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HCI Challenges in Human Movement Analysis

Author(s)
Motti, Lilian Genaro  
Bossavit, Benoît  
Caulfield, Brian  
Uri
http://hdl.handle.net/10197/11191
Date Issued
2019-08-23
Date Available
2019-11-08T15:33:49Z
Abstract
Assessing human bodies' postures and positions enables to design new interaction techniques, to understand users' performances and to evaluate ergonomics of devices. In addition ot the applications for improving Human-Computer Interaction, human movement analysis is at the heart of other types of usages including sports, rehabilitation, gesture recognition, etc. This workshop aims at providing a platform for researchers and designers to discuss the challenges related to the processing (e.g., data collection, treatment, interpretation, recognition) of human movement (e.g., motor skills, amplitude of movements, limitations). We expect to identify the main challenges to be addressed and come up with a research agenda to give HCI new perspectives and suggest promising directions.
Sponsorship
European Commission Horizon 2020
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Agence Nationale de la Recherche
Type of Material
Conference Publication
Publisher
Springer
Series
Lecture Notes in Computer Science book series (LCNS, volume 11749)
Information Systems Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11749)
Copyright (Published Version)
2019 International Federation for Information Processing
Subjects

Personal Sensing

Movement analysis

Human movement

Design evaluation

Biomechanics

Ergonomics

Acessibility

DOI
10.1007/978-3-030-29390-1_70
Web versions
http://interact2019.org/
Language
English
Status of Item
Peer reviewed
Journal
Lamas, D., Loizides, F., Nacke, L., Petrie, H., Winckler, M., Zaphiris, P. Human-Computer Interaction - INTERACT 2019: 17th IFIP TC 13 International Conference, Pahos, Cyprus, September 2-6, 2019, Proceedings, Part IV
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

insight_publication.pdf

Size

131.65 KB

Format

Adobe PDF

Checksum (MD5)

a6eec24f8856e1d5c5157ad331ce4e32

Owning collection
Insight Research Collection
Mapped collections
Public Health, Physiotherapy and Sports Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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