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dc.contributor.authorSharma, Aakash
dc.contributor.authorCzerwinska, Katja P
dc.contributor.authorJohansen, Dag
dc.contributor.authorDagenborg, Håvard
dc.date.accessioned2023-05-08T07:57:01Z
dc.date.available2023-05-08T07:57:01Z
dc.date.issued2023-01
dc.description.abstractNutritionplaysakeyroleinanathlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using Image-Based Dietary Assessment (IBDA) methods where athletes can take pictures of their food before consuming it. However, the current state of IBDA is not perfect. In this paper, we discuss the challenges faced in employing such methods to capture nutrition data. We also discuss ethical and legal issues that must be addressed before using these methods on a large scale.en_US
dc.descriptionPresentation at the 29th International Conference on Multimedia Modeling, 09. - 13.01.23, Bergen, Norway: <a href=https://www.mmm2023.no/>https://www.mmm2023.no/</a>.en_US
dc.identifier.cristinIDFRIDAID 2104335
dc.identifier.urihttps://hdl.handle.net/10037/29154
dc.language.isoengen_US
dc.relation.projectIDNorges forskningsråd: 274451en_US
dc.relation.projectIDNorges forskningsråd: 263248en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleCapturing Nutrition Data for Sports: Challenges and Ethical Issuesen_US
dc.type.versionacceptedVersionen_US
dc.typeConference objecten_US
dc.typeKonferansebidragen_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)