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Exercise physiology / Health / Basal metabolic rate / Metabolism / Energy balance / Physical exercise / Obesity / Resting energy expenditure / Treadmill / Nutrition / Medicine / Biology


On Determining the Best Physiological Predictors of Activity Intensity Using Phone-Based Sensors Harshvardhan Vathsangam, E. Todd Schroeder and Gaurav S. Sukhatme Abstract—Physical inactivity is a leading risk factor i
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Document Date: 2013-06-01 19:27:55

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File Size: 1,38 MB

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City

Los Angeles / /

Company

Carefusion / /

Country

United States / /

Currency

pence / /

Facility

University of Southern California / /

IndustryTerm

energy predictions / output energy value / energy consumption / Time-synced energy / energy prediction using inertial sensors / target energy / mass-specific energy cost / energy expenditure model / post-processing / energy values / Diabetes Care / energy prediction / energy / /

MedicalCondition

heart disease / cerebrovascular disease / malignant neoplasm / diabetes mellitus / /

MedicalTreatment

CCR / /

OperatingSystem

Xp / Android / /

Organization

Division of Biokinesiology and Physical Therapy / Institutional Review Board / World Health Organization / National Science Foundation / University of Southern California / Ambient Intelligence / Univ. of Southern California / Center for Embedded Network Sensing / /

Person

E. Todd Schroeder / /

ProvinceOrState

Southern California / California / /

Region

Southern California / /

Technology

EM-like algorithm / smartphone / GPS / SNp / Android / EM algorithm / learned using the EM algorithm / trained using an EM-like algorithm / /

SocialTag