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dc.contributor.authorSharma, Aakash
dc.contributor.authorCzerwinska, Katja P
dc.contributor.authorJohansen, Dag
dc.contributor.authorDagenborg, Håvard Johansen
dc.date.accessioned2023-10-16T07:52:21Z
dc.date.available2023-10-16T07:52:21Z
dc.date.issued2023
dc.description.abstractNutrition plays a key role in an athlete’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.identifier.citationSharma A, Czerwinska KP, Johansen D, Dagenborg HJ: Capturing Nutrition Data for Sports: Challenges and Ethical Issues. In: Dang-Nguyen D. MultiMedia Modeling, 2023. Springer p. 601-612en_US
dc.identifier.cristinIDFRIDAID 2184392
dc.identifier.doihttps://doi.org/10.1007/978-3-031-27077-2_47
dc.identifier.isbn978-3-031-27077-2
dc.identifier.urihttps://hdl.handle.net/10037/31568
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.titleCapturing Nutrition Data for Sports: Challenges and Ethical Issuesen_US
dc.type.versionacceptedVersionen_US
dc.typeChapteren_US
dc.typeBokkapittelen_US


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