Analysis of real‐time heartbeat monitoring using wearable device Internet of Things system in sports environment

Wang, Zhonghua; Zhong-he, Gao

doi:10.1111/coin.12337

Cited by 24 publications

(16 citation statements)

References 24 publications

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“…During the training process, the physical therapist will provide more guidance on language and movement, and people do not correct their movements in time through their own feelings and comments [33]. This kind of exercise does not activate the sensory and motor systems that use nerves, but only moves a part of the body according to the most basic exercise theory, so it does not work, and it has an impact on improving movement and reducing compensation.…”

Section: ) Application Of Corrective Training In Sports Action Correctionmentioning

confidence: 99%

Application of Virtual Reality Based on Computer Vision in Sports Posture Correction

Zhu

Shao

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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In recent years, with the rise of virtual and sports, people are often injured due to irregular movements during exercise. Based on this, this article takes the basic concept of computer virtual reality as the starting point and analyzes the adoption of computer virtual reality in sports correction. The choice of corrective exercises depends on the daily wrong exercises. If there is an error in any operation, please select the corresponding operation mode for the error operation for corrective training. If there are multiple errors at the same time, we compare and select the error operation that needs to be resolved first and the error operation that needs to be resolved later. In our daily life, the squat action pattern of Tai Chi Half-squat stance ball is closely related to us, and its action pattern can fully reflect the core stability of the subject. In this study, 42 students were selected as the students of a college sports college in Dalian. There are 7 people in each group, divided into 6 groups. The first three groups used exercise correction to assist the traditional teaching method (experimental group). It was found that the performance error rate of the first three groups reached 65%, and the last three groups used the assisted virtual reality teaching method, and the error rate was only 4%. Therefore, we adopted the teaching of virtual reality can reduce the error rate of the movement posture. We trained them for half a year and assessed and scored them once a month. We collect this data and analyze it to reach a conclusion. The experimental results prove that the experimental group has a significant difference before and after the squat test ( P < 0.05 ), and postexperiment there is a remarkable disparity among the experimental group and the comparison group ( P < 0.05 ). Therefore, squatting correction training is effective in improving the wrong squat. It is very effective for problems such as posture movement mode and joint limitation. Therefore, it is a very meaningful thing to explore the exercise correction training based on the virtual reality of computer vision.

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Section: ) Application Of Corrective Training In Sports Action Correctionmentioning

confidence: 99%

Application of Virtual Reality Based on Computer Vision in Sports Posture Correction

Zhu

Shao

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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show abstract

“…Overall, eleven distinct wearable/IoT devices types have been evaluated for fitness assessment. The examined studies were conducted using a glove [ 38 , 57 ], wristband [ 39 , 40 , 41 , 46 , 49 , 52 , 53 ], calf band [ 42 ], bicycle [ 44 ], waistband [ 45 ], chest band [ 46 ], smartwatch [ 47 , 54 ], smartphone attached to belt [ 48 ], T-shirt [ 50 ], upper torso strap [ 51 ] and bracelet [ 53 ]. Two studies did not report any results regarding the use of wearable/IoT devices for fitness assessment [ 44 , 47 ].…”

Section: Discussionmentioning

confidence: 99%

“…Regarding criterion D, among the examined studies that have reported results for fitness assessment, two major categories have been identified—(1) Physiological Status Monitoring with five works [ 40 , 41 , 50 , 53 , 56 ] and (2) Activity Recognition/Tracking with eleven works [ 39 , 42 , 43 , 45 , 46 , 48 , 49 , 51 , 52 , 54 , 57 ]—which will be discussed separately in the following two subsections.…”

Section: Discussionmentioning

confidence: 99%

“…From the first category Physiological Status Monitoring, several wearable and IoT technologies (wristband [ 40 , 41 , 53 ]; T-shirt [ 50 ]; bracelet [ 53 ]) have been used along with distinct processing/machine learning approaches, cf. Table 4 .…”

Section: Discussionmentioning

confidence: 99%

“…The two remaining works that rely on the first category include a T-shirt [ 50 ] and a bracelet [ 53 ]. The former introduces a prototype based on a t-shirt that was embedded with sensors for heart rate monitoring along with acceleration.…”

Section: Discussionmentioning

confidence: 99%

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Wearables and Internet of Things (IoT) Technologies for Fitness Assessment: A Systematic Review

Passos

Lopes

Clemente

et al. 2021

Sensors

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Wearable and Internet of Things (IoT) technologies in sports open a new era in athlete’s training, not only for performance monitoring and evaluation but also for fitness assessment. These technologies rely on sensor systems that collect, process and transmit relevant data, such as biomarkers and/or other performance indicators that are crucial to evaluate the evolution of the athlete’s condition, and therefore potentiate their performance. This work aims to identify and summarize recent studies that have used wearables and IoT technologies and discuss its applicability for fitness assessment. A systematic review of electronic databases (WOS, CCC, DIIDW, KJD, MEDLINE, RSCI, SCIELO, IEEEXplore, PubMed, SPORTDiscus, Cochrane and Web of Science) was undertaken according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. From the 280 studies initially identified, 20 were fully examined in terms of hardware and software and their applicability for fitness assessment. Results have shown that wearable and IoT technologies have been used in sports not only for fitness assessment but also for monitoring the athlete’s internal and external workloads, employing physiological status monitoring and activity recognition and tracking techniques. However, the maturity level of such technologies is still low, particularly with the need for the acquisition of more—and more effective—biomarkers regarding the athlete’s internal workload, which limits its wider adoption by the sports community.

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Recent Advances toward Wearable Sweat Monitoring Systems

Shen

Xue

et al. 2022

Adv Materials Technologies

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Wearable biosensors are playing an increasingly important role in society. Compared with traditional wearable biosensors for detecting blood pressure, blood oxygen, or pulse conditions, which can only access information from the physical level, biosensors for testing body fluids can provide more details on health conditions through the analysis of biochemical criteria. Sweat secreted from glands distributed throughout the body contains abundant biochemical information and is an indicator of the physical conditions. Because of the noninvasive and safe sampling method, wearable sweat monitoring systems have the potential to realize long‐term and wearable detection. In this review, the current situation of wearable sweat monitoring systems is summarized from three critical parts: the sweat collection method, the sweat analysis method, and the energy supply. Finally, based on the existing drawbacks of wearable sweat monitoring systems in previous studies, the authors creatively propose droplet‐based detection, triboelectric nanogenerator‐based detection, and self‐powered systems as new directions for future research. The proposed approaches are expected to promote the commercialization process of wearable sweat monitoring systems.

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Analysis of real‐time heartbeat monitoring using wearable device Internet of Things system in sports environment

Cited by 24 publications

References 24 publications

Application of Virtual Reality Based on Computer Vision in Sports Posture Correction

Application of Virtual Reality Based on Computer Vision in Sports Posture Correction

Wearables and Internet of Things (IoT) Technologies for Fitness Assessment: A Systematic Review

Recent Advances toward Wearable Sweat Monitoring Systems

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