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3 Results for: "Wrist"

Physical activity measurement considerations: Development and validation of new algorithms for wrist worn accelerometers

  • Presented on 2015

Abstract: This investigation developed models to estimate aspects of physical activity and sedentary behavior from three-axis high frequency wrist worn accelerometer data. The models were developed and tested on twenty participants (n=10 males, n=10 females, mean age= 24.1, mean BMI = 23.9) who wore an ActiGraph GT3X+ accelerometer on their dominant wrist ...


Methods to estimate aspects of physical activity and sedentary behavior from high frequency wrist accelerometer measurements

  • Published on June 25, 2015

Abstract: This investigation developed models to estimate aspects of physical activity and sedentary behavior from three-axis high frequency wrist worn accelerometer data. The models were developed and tested on twenty participants (n=10 males, n=10 females, mean age= 24.1, mean BMI = 23.9) who wore an Actigraph GT3X+ accelerometer on their dominant wrist ...


Machine Learning for Activity Recognition: Hip versus Wrist Data

  • Presented on June 18, 2013

Introduction: Wrist-worn accelerometers are convenient to wear and are associated with greater compliance. However, validated algorithms for predicting activity type and/or energy expenditure from wrist-worn accelerometer data are lacking. Purpose: To compare the activity recognition rates of an activity classifier trained on raw tri-axial acceleration signal (30 Hz) collected on ...