Open AccessApplication Analysis Of Smart Wearable Devices in Students’ Physical Activity Under the Background Of Big Data
Author(s) -
Mingxia Li,
Minghao Sun,
Liangliang Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1757/1/012124
Subject(s) - wearable computer , big data , class (philosophy) , computer science , wearable technology , plan (archaeology) , human–computer interaction , multimedia , internet of things , data science , embedded system , artificial intelligence , data mining , history , archaeology
With the rapid development of information technology, big data is gradually being popularized and promoted in various industries. Smart wearable devices have attracted much attention for their objective, accurate and continuous measurement of the amount of exercise. With the continuous improvement of intelligent equipment performance, large data analysis and intelligent wearable device technology can real-time capture the movement of the students in class data: trajectory, heart rate, speed, cost, etc., through data analysis, to monitor and intervene student’s sports activities in the class at the same time, can help the teacher more scientific system of the training plan, a more comprehensive understanding of the students in the class level and performance, enhance the level of student’s physical stamina and physical health and will bring far-reaching influence to sports research.