A Framework for Activity Recognition and Prediction of Physiological Responses: Applications in Health Monitoring using Wearable Sensors.

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dc.contributor.advisorEdgar Lobaton, Chair
dc.contributor.advisorWesley Snyder, Member
dc.contributor.advisorDror Baron, Member
dc.contributor.advisorSoumendra Lahiri, Member
dc.contributor.authorLokare, Namita Dilip
dc.date.accepted2017-07-20
dc.date.accessioned2018-07-27T12:30:51Z
dc.date.available2018-07-27T12:30:51Z
dc.date.defense2017-06-30
dc.date.embargo2018-07-27
dc.date.issued2017-06-30
dc.date.released2018-07-27
dc.date.reviewed2017-07-05
dc.date.submitted2017-07-05
dc.degree.disciplineElectrical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Electrical and Computer Engineering.
dc.formatPh.D. North Carolina State University, 2018.
dc.identifier.otherdeg6904
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/35468
dc.rights
dc.titleA Framework for Activity Recognition and Prediction of Physiological Responses: Applications in Health Monitoring using Wearable Sensors.
dcterms.extent1 online resource (xi, 119 pages) : illustrations, charts

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