Wearable Artificial Intelligence for Assessing Physical Activity in High School Children

Wearable Artificial Intelligence for Assessing Physical Activity in High School Children

<p dir="ltr">Eighty one percent of adolescents aged 11–17 years are inadequately physically active worldwide. Physical activity (PA) recommendations for high school children have not been studied previously in schools in the Qatar region. The objectives of the study were: (i) to asse...

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Bibliographic Details
Main Author: Arfan Ahmed (17541309) (author)
Other Authors: Sarah Aziz (17541312) (author), Uvais Qidwai (16888698) (author), Faisal Farooq (13134579) (author), Jingxuan Shan (4711089) (author), Murugan Subramanian (19450318) (author), Lotfi Chouchane (61840) (author), Rola EINatour (19450321) (author), Alaa Abd-Alrazaq (17430900) (author), Satchidananda Pandas (19450324) (author), Javaid Sheikh (5534825) (author)
Published: 2022
Subjects:
Biomedical and clinical sciences
Clinical sciences
Nutrition and dietetics
Health sciences
Public health
Sports science and exercise
children
adolescents
physical activity
exercise
wearable devices
fitness trackers
Fitbit
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