Zobrazeno 1 - 10
of 17
pro vyhledávání: '"exercise data"'
Autor:
Neil Anderson
Publikováno v:
Journal of Learning Development in Higher Education, Iss 28 (2023)
Little is known about the use that sport and exercise sciences students of different levels of study at university make of grading rubrics. The aims of this study were to develop a greater understanding of the perceptions students and teaching assist
Externí odkaz:
https://doaj.org/article/ac05f16cb8894c56875466d22bf925ae
Autor:
Ploeşteanu, Nicolae Dragoş
Publikováno v:
Revista de Insolvenţă Phoenix / Phoenix Insolvency Review. 77(2):42-45
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1019153
Autor:
Veera Ehrlén
Publikováno v:
Leisure Studies. 40:545-560
Self-tracking is increasingly popular in recreational sport. Leisure sports practitioners use wearable devices that are connected to online platforms to record, analyse, and share their exercise data. While doing that they interact with a digital sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e2035337d9a33ed5c66d4c58f22a977
https://doi.org/10.1080/02614367.2020.1869289
https://doi.org/10.1080/02614367.2020.1869289
Physiological response to physical exercise through analysis of cardiopulmonary measurements has been shown to be predictive of a variety of diseases. Nonetheless, the clinical use of exercise testing remains limited because interpretation of test re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f5b775a79317ce11a683a1b4c09a91
Publikováno v:
فیزیولوژی ورزش و فعالیت بدنی, Vol 7, Iss 2 (2015)
aim: The purpose of this study was to develop and investigate the accuracy of regression equation to predict VO2max andestimate cardiorespiratory fitness (CRF) based on non-exercise (N-EX) data in adult women. Research Methodology: Inorder to achieve
Externí odkaz:
https://doaj.org/article/f2ee72960b494160b9b2b39afbc25349
Akademický článek
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Publikováno v:
Jurnal Keolahragaan; Vol 7, No 2 (2021): Oktober; 43-54
This study aims to determine the vo2max prediction of students participating in volleyball and futsal extracurricular activities at SMK Al-Huda Turalak, Ciamis Regency. The research method used is causal-comparative. The population of this research i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba85600273833eac7d55a8e94368b37
https://doi.org/10.25157/jkor.v7i2.6021
https://doi.org/10.25157/jkor.v7i2.6021
Conference
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Autor:
Kevin Ashley
Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive gu
Autor:
Pidaparthy, Hemanth
A novel approach to recognizing and correcting errors in exercise activity based on skeletal joint data obtained from the Kinect 2.0 sensor is presented. Many approaches in the literature for analyzing human motion focus on training a classifier to r
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=akron1430912344