Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61451
Title: Using Deep Learning and 360 Video to Detect Eating Behavior for User Assistance Systems
Contributor(s): Rouast, Philipp V (author); Adam, Marc T P (author); Burrows, Tracy (author); Chiong, Raymond  (author)orcid ; Rollo, Megan (author)
Publication Date: 2018
Handle Link: https://hdl.handle.net/1959.11/61451
Abstract: 

The rising prevalence of non-communicable diseases calls for more sophisticated approaches to support individuals in engaging in healthy lifestyle behaviors, particularly in terms of their dietary intake. Building on recent advances in information technology, user assistance systems hold the potential of combining active and passive data collection methods to monitor dietary intake and, subsequently, to support individuals in making better decisions about their diet. In this paper, we review the state-of-the-art in active and passive dietary monitoring along with the issues being faced. Building on this groundwork, we propose a research framework for user assistance systems that combine active and passive methods with three distinct levels of assistance. Finally, we outline a proof-of-concept study using video obtained from a 360-degree camera to automatically detect eating behavior from video data as a source of passive dietary monitoring for decision support.

Publication Type: Conference Publication
Conference Details: ECIS 2018: 26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, Portsmouth, United Kingdom, 23rd - 28th June, 2018
Source of Publication: Proceedings of the 26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018, p. 1-11
Publisher: Computer Science Bibliography
Place of Publication: Germany
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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