Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors

Wireless sensors are a new, high-end, and popular exploration technology. The positioning and tracking of the human body are two important research issues in sensors. Aerobics is a widely popular sports item that is well-loved by the general public and integrates gymnastics, dance, music, fitness, a...

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Autor principal:	Wenting Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/ef7e808f209e41f1a8ebba6fadf49919
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spelling	oai:doaj.org-article:ef7e808f209e41f1a8ebba6fadf499192021-11-22T01:11:36ZAerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors1687-726810.1155/2021/7694835https://doaj.org/article/ef7e808f209e41f1a8ebba6fadf499192021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7694835https://doaj.org/toc/1687-7268Wireless sensors are a new, high-end, and popular exploration technology. The positioning and tracking of the human body are two important research issues in sensors. Aerobics is a widely popular sports item that is well-loved by the general public and integrates gymnastics, dance, music, fitness, and entertainment. The application of smart sensors helps to improve the coordination and flexibility of movements. In order to deeply study whether wireless smart sensors can play a role in tracking and recognizing aerobics exercise postures, this article uses sensor design methods, motion analysis, and software and hardware equipment architecture methods to collect samples, analyze smart sensors, and streamline algorithms. And it creates a sensor model and system for posture tracking and recognition. When testing the best position for the placement of the sensor, first fix the sensor at a distance of 2.5 cm from the wrist section and at the middle of the lower arm, keep the upper arm still, and do the stretching and contraction movements of the lower arm. Repeat the exercise 5 times and measure the wrist. The movement curve of the juncture, the result shows that the measured juncture curve at a distance of 2.5 cm is basically the same as the actual winding curve, and the fixed position in the middle deviates more from the normal curve point, and its average error is within 0.9 cm, which is correct. To test the effectiveness of the algorithm again, a total of 8 volunteers’ data were collected during the experiment, and the duration was more than 25 seconds, and each normal posture tried to maintain stability and lasted for about 6 seconds. The statistical accuracy rate is 90.6%. It shows that the algorithm or the system designed in this paper has extremely high accuracy. It is basically realized that from the theory of wireless sensor network, a system model that can be used for posture tracking and recognition of aerobics is designed.Wenting ZhouHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995
spellingShingle	Technology (General) T1-995 Wenting Zhou Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors
description	Wireless sensors are a new, high-end, and popular exploration technology. The positioning and tracking of the human body are two important research issues in sensors. Aerobics is a widely popular sports item that is well-loved by the general public and integrates gymnastics, dance, music, fitness, and entertainment. The application of smart sensors helps to improve the coordination and flexibility of movements. In order to deeply study whether wireless smart sensors can play a role in tracking and recognizing aerobics exercise postures, this article uses sensor design methods, motion analysis, and software and hardware equipment architecture methods to collect samples, analyze smart sensors, and streamline algorithms. And it creates a sensor model and system for posture tracking and recognition. When testing the best position for the placement of the sensor, first fix the sensor at a distance of 2.5 cm from the wrist section and at the middle of the lower arm, keep the upper arm still, and do the stretching and contraction movements of the lower arm. Repeat the exercise 5 times and measure the wrist. The movement curve of the juncture, the result shows that the measured juncture curve at a distance of 2.5 cm is basically the same as the actual winding curve, and the fixed position in the middle deviates more from the normal curve point, and its average error is within 0.9 cm, which is correct. To test the effectiveness of the algorithm again, a total of 8 volunteers’ data were collected during the experiment, and the duration was more than 25 seconds, and each normal posture tried to maintain stability and lasted for about 6 seconds. The statistical accuracy rate is 90.6%. It shows that the algorithm or the system designed in this paper has extremely high accuracy. It is basically realized that from the theory of wireless sensor network, a system model that can be used for posture tracking and recognition of aerobics is designed.
format	article
author	Wenting Zhou
author_facet	Wenting Zhou
author_sort	Wenting Zhou
title	Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors
title_short	Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors
title_full	Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors
title_fullStr	Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors
title_full_unstemmed	Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors
title_sort	aerobics exercise posture tracking and recognition system based on wireless smart sensors
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/ef7e808f209e41f1a8ebba6fadf49919
work_keys_str_mv	AT wentingzhou aerobicsexerciseposturetrackingandrecognitionsystembasedonwirelesssmartsensors
_version_	1718418315271995392

Aerobics Exercise Posture Tracking and Recognition System Based on Wireless Smart Sensors

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