Intelligent Analysis and Evaluation Method of Athletics Running Data Based on Big Data Statistical Model

To investigate the effectiveness of pedometry in athletics at different running speeds and on different walking surfaces, and to test whether it can be used for running for fitness and for pedometry on hardened concrete surfaces in daily life. The steps were measured under laboratory conditions usin...

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Veröffentlicht in:Mathematical problems in engineering Jg. 2022; S. 1 - 8
1. Verfasser: Ge, Yushan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 29.03.2022
John Wiley & Sons, Inc
Schlagworte:
Accuracy
Algorithms
Big Data
Exercise
Physical fitness
Running
Sensors
Smartphones
Social research
Sports
Statistical models
Walking
China
ISSN:1024-123X, 1563-5147
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Zusammenfassung:To investigate the effectiveness of pedometry in athletics at different running speeds and on different walking surfaces, and to test whether it can be used for running for fitness and for pedometry on hardened concrete surfaces in daily life. The steps were measured under laboratory conditions using a running platform at 5 min at 5 speeds of 3.2 km/h, 4.8 km/h, 6.4 km/h, 8.0 km/h, and 9.6 km/h (actual steps were accurately determined by video playback), followed by 300 steps each at low, normal and fast speeds on an outdoor plastic athletics track. There were significant differences between the smart bracelet and the mobile phone sports app at low running speeds on four different surfaces: outdoor plastic track, dirt, concrete and mountainous terrain. The difference was not significant in normal pace and fast walking.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1024-123X
1563-5147
DOI:10.1155/2022/5624482