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Towards automatic food prediction during endurance sport competitions
Iztok Fister Jr1; Fister, Iztok1; Fister, Duan1; Ljubi, Karin1; Zhuang, Yan2; Fong, Simon2
2014-04-02
Conference Name2014 1st International Conference on Soft Computing and Machine Intelligence, ISCMI 2014
Source PublicationProceedings - 2014 International Conference on Soft Computing and Machine Intelligence, ISCMI 2014
Pages6-10
Conference Date26-27 Sept. 2014
Conference PlaceNew Delhi, India
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

Endurance sport events have increasingly been gaining the popularity. Every year, more and more amateur athletes decide to participate in such events. During the race, proper eating is one of the most important components for achieving the good finish time and in this respect also the good place. In this paper, we examine possibility to predict what to eat at the moment. In line with this, machine learning method, i.e., decision tree was used that bases on the current athlete performance, his/her feeling, needs, and even weather. First simulations showed that this method may be suitable for future use in endurance events. 

KeywordComponent Endurance Sport Event Machine Learning Decision Tree Food
DOIhttps://doi.org/10.1109/ISCMI.2014.30
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000380446900002
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Citation statistics
Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova 17, Maribor; 2000, Slovenia;
2.University of Macau, Faculty of Science and Technology, Taipa, China
Recommended Citation
GB/T 7714
Iztok Fister Jr,Fister, Iztok,Fister, Duan,et al. Towards automatic food prediction during endurance sport competitions[C]//Institute of Electrical and Electronics Engineers Inc.:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2014:6-10.
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