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Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging.

, , , , , and . ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 462-470. Springer, (2017)

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Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging., , , , , and . ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 462-470. Springer, (2017)Remote patient monitoring: what impact can data analytics have on cost?, , , , , , and . Wireless Health, page 4:1-4:8. ACM, (2013)Dynamic Task Optimization in Remote Diabetes Monitoring Systems., , , , , , , , , and 1 other author(s). HISB, page 3-11. IEEE Computer Society, (2012)Investigating barriers and facilitators to wearable adherence in fine-grained eating detection., , , , , , , and . PerCom Workshops, page 407-412. IEEE, (2017)An automated framework for predicting obstructive sleep apnea using a brief, daytime, non-intrusive test procedure., , , and . PETRA, page 70:1-70:8. ACM, (2015)Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems., , , , , and . SIES, page 102-111. IEEE, (2012)Wearable Food Intake Monitoring Technologies: A Comprehensive Review., , , and . Computers, 6 (1): 4 (2017)BreathSens: A Continuous On-Bed Respiratory Monitoring System With Torso Localization Using an Unobtrusive Pressure Sensing Array., , , , , , and . IEEE J. Biomedical and Health Informatics, 19 (5): 1682-1688 (2015)When generalized eating detection machine learning models fail in the field., , , and . UbiComp/ISWC Adjunct, page 613-622. ACM, (2017)Personalized Medicine in the Wearable Era: Translational Barriers and Call to Action., and . HumanSys@SenSys, page 37-42. ACM, (2017)