Physical activity classification using the GENEA wrist-worn accelerometer.
about
Evolution of accelerometer methods for physical activity researchMovement prediction using accelerometers in a human population.The speed of our mental soundtracks: Tracking the tempo of involuntary musical imagery in everyday lifeA review of signals used in sleep analysisA method to estimate free-living active and sedentary behavior from an accelerometer.Comparative evaluation of features and techniques for identifying activity type and estimating energy cost from accelerometer data.Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches.Validation of the AX3 triaxial accelerometer in older functionally impaired people.Cross-validation of waist-worn GENEA accelerometer cut-pointsPredicting human movement with multiple accelerometers using moveletsValidation of the Vivago Wrist-Worn accelerometer in the assessment of physical activityA random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers.A comparison of subjective and objective measures of physical activity from the Newcastle 85+ study.Accelerometry-based Recognition of the Placement Sites of a Wearable SensorA Validation Study of the Web-Based Physical Activity Questionnaire Active-Q Against the GENEA Accelerometer.Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements.Accelerometry and physical activity questionnaires - a systematic review.Early Detection of Physical Activity for People With Type 1 Diabetes Mellitus.Ngram time series model to predict activity type and energy cost from wrist, hip and ankle accelerometers: implications of age.Comparison of physical activity assessed using hip- and wrist-worn accelerometers.Estimating activity and sedentary behavior from an accelerometer on the hip or wristImpact of study design on development and evaluation of an activity-type classifierPerformance of Activity Classification Algorithms in Free-Living Older AdultsClassification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.Activity recognition using a single accelerometer placed at the wrist or ankleComparison of raw acceleration from the GENEA and ActiGraph™ GT3X+ activity monitorsAssociation between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors.Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth.Authors' Reply to: Critique of "Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions" - Does Location of the Device Matter?The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors.Activity Recognition in Youth Using Single Accelerometer Placed at Wrist or Ankle.Individual classification of elementary school children's physical activity: A time-efficient, group-based approach to reference measurements.Ambulatory physical activity during the initial training phase in a Naval Commando Unit.Daily physical activity patterns from hip- and wrist-worn accelerometers.Physical activity derived from questionnaires and wrist-worn accelerometers: comparability and the role of demographic, lifestyle, and health factors among a population-based sample of older adults.Positive affect and physical activity: Testing effects on goal setting, activation, prioritisation, and attainment.An Activity Recognition Framework Deploying the Random Forest Classifier and A Single Optical Heart Rate Monitoring and Triaxial AccelerometerWrist-Band.Assessment of Physical Activity of Hospitalised Older Adults: A Systematic Review.Using open source accelerometer analysis to assess physical activity and sedentary behaviour in overweight and obese adults.Wrist-based cut-points for moderate- and vigorous-intensity physical activity for the Actical accelerometer in adults.
P2860
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P2860
Physical activity classification using the GENEA wrist-worn accelerometer.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Physical activity classification using the GENEA wrist-worn accelerometer.
@en
Physical activity classification using the GENEA wrist-worn accelerometer.
@nl
type
label
Physical activity classification using the GENEA wrist-worn accelerometer.
@en
Physical activity classification using the GENEA wrist-worn accelerometer.
@nl
prefLabel
Physical activity classification using the GENEA wrist-worn accelerometer.
@en
Physical activity classification using the GENEA wrist-worn accelerometer.
@nl
P2093
P1476
Physical activity classification using the GENEA wrist-worn accelerometer.
@en
P2093
Peter Murray
Shaoyan Zhang
Tina L Hurst
P304
P356
10.1249/MSS.0B013E31823BF95C
P577
2012-04-01T00:00:00Z