Physical Activity Classification in Youth Using Raw Accelerometer Data from the Hip-Reference-Cited by-同舟云学术

Physical Activity Classification in Youth Using Raw Accelerometer Data from the Hip

Published:2020-01-23 Issue:2 Volume:24 Page:129-136
ISSN:1091-367X
Container-title:Measurement in Physical Education and Exercise Science
language:en
Short-container-title:Measurement in Physical Education and Exercise Science

Author:

Ahmadi Matthew N.¹^ORCID,Pfeiffer Karin A.²,Trost Stewart G.¹^ORCID

Affiliation:

1. Institute of Health and Biomedical Innovation at QLD Centre for Children’s Health Research, School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia

2. Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/1091367X.2020.1716768

Reference43 articles.

1. Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy

2. Global Matrix 3.0 Physical Activity Report Card Grades for Children and Youth: Results and Analysis From 49 Countries

3. Calibration and Validation of Wearable Monitors

4. Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough

5. Redefining the Roles of Sensors in Objective Physical Activity Monitoring

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