Wireless body area networks: a comprehensive survey

Abidi, Bahae; Jilbab, Abdelilah; Mohamed, El Haziti

doi:10.1080/03091902.2020.1729882

Cited by 36 publications

(16 citation statements)

References 30 publications

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“…Wireless sensor networks are formed because of the combination of computing, communication, and sensor technologies. In wireless sensor networks, not only sensor technology and embedded computing technology are used in an integrated manner but also distributed information processing technology and communication technology are included to play an active application value [3], in practice, for wireless sensor networks, mainly not only by the random distribution of many integrated sensors as well as data processing units and wireless communication modules consisting of tiny nodes, between its nodes, but also through the self-organization form to form an ineffective communication network to improve the efficiency of the actual information dissemination [4]. In the wireless sensor network, a variety of modern technologies are integrated, and the network can be used to collect, sense, and process information about objects in the network coverage in real time and send this information to the corresponding observers, which has practical application advantages.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

Beibei

2021

Journal of Sensors

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This paper is based on wireless sensor network topology for sports training human data collection, and the collected data are studied and analyzed in depth. According to the application requirements of sports training, a sports training system consisting of an embedded data collection terminal, and a database server is designed using wireless sensor network technology. The hardware is designed with sensor nodes and base stations to collect athletes’ motion parameters in real time. The software is designed with node and base station control software and sports database management system to realize the receiving, storing, and analyzing of sports parameters. And the system experiments were conducted, and the experimental results show that this system meets the application requirements of sports training and provides an effective tool for scientific training decision research. The needs of designing sports training systems under wireless sensor networks are analyzed, and the system is designed and implemented. Our results confirm that the use of wireless sensor network technology in the design of the sports training system improves the system application performance by 16%. And the interactivity of the sports training system in practice has increased by 8%. All of these show that the design of the sports training system under the wireless sensor network meets the actual system application requirements and has a positive impact. The design of base station control, node control, and sports database software is implemented in the software system, which can effectively realize the collection, storage, and analysis of sports parameters. Finally, the designed wireless sensor network-based sports training system is tested, and the test results indicate that the system designed in this paper can meet the needs of sports training use.

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Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

Beibei

2021

Journal of Sensors

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“…This paper proposes a multifunctional sports training system based on a wireless sensor network to solve the sports training needs and some drawbacks of sports training equipment and to facilitate managers to fine and comprehensive control of athletes' sports situation. Through the exploration and mining of wireless sensor networks, this paper has certain exploration and reference significance to the action recognition technology in the field of intelligent sports [5].…”

Section: Introductionmentioning

confidence: 99%

Using Wireless Sensor Network to Correct Posture in Sports Training Based on Hidden Markov Matching Algorithm

Cui

2021

Journal of Sensors

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This paper combines the research of wireless sensor networks and sports training and proposes a wireless sensor network-based intelligent sports training system. According to the requirements of the system, this design uses the wireless sensor network system as the platform for development and the ZigBee module for wireless communication. The advantage of this system is to transmit the obtained information to the ZigBee coordinator module, and after the processing of information and the resultant decision, a nonwearable unmonitored motion training model based on visual sensing is proposed. The motion terminal collects video data streams of user motion actions and extracts features to establish HMM motion recognition algorithm to achieve recognition of motion actions, automatic counting, and intelligent scoring functions. The template matching algorithm based on dynamic time regularization and weighted Euclidean distance realizes a universal real-time motion recognition algorithm with high standard and low latency and can guide the user’s motion action based on similarity calculation. The intelligent sports training system is designed and developed to maintain a high-quality human-computer interaction experience with a real-time feedback client and uploads sports data to a cloud server via the HTTP protocol, which supports real-time sports proximity query and training plan development on the website. After practical application tests, the intelligent sports training system based on the wireless sensor network proposed in this paper is stable and reliable and adds fun and competitiveness to boring sports. The research of this paper has some reference value for the application of wireless sensor networks and the research of the motion recognition algorithm.

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“…Os trabalhos que melhor atendem aos critérios desta RSL se concentraram após 2006 (ver Figura 2), quando surgiram novos dispositivos inteligentes para WBANs [13], [14].…”

Section: Resultados Da Rslunclassified

“…Em [19], são examinadas as tecnologias e aplicac ¸ões mais recentes da WBAN em telemedicina, concentrando-se nos aplicativos relacionados à triagem de pacientes, sem focar em MAC. Em [13], são descritos conceitos, aplicac ¸ões, desafios e abordagens para o roteamento de mensagens em WBANs.…”

Section: Trabalhos Relacionadosunclassified

Redes Corporais Sem Fio: Abordagens de MAC para Garantia de Eficiência e Confiabilidade na Comunicação sob Tráfego Dinâmico

Herculano

Pereira

Guimarães³

et al. 2021

Anais Estendidos Do XI Simpósio Brasileiro De Engenharia De Sistemas Computacionais (SBESC Estendido 2021)

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Wireless Body Area Networks (WBANs) provide monitoring of physiological data without compromising patient mobility. In order not to affect patient health nor his/her mobility, nodes in a WBAN transmit data using short range and low power radio frequency electromagnetic waves. WBAN transmissions thus become subject to failures caused by interference or body mobility. Additionally, WBAN applications typically have timing constraints and dynamic traffic, which can change depending on the patient’s physiological conditions. Several approaches to the Medium Access Control (MAC) sublayer have been proposed to WBANs in order to improve reliability and efficiency of these networks. In this paper, we propose and use a systematic review method to cover MAC approaches to WBAN efficiency and reliability under dynamic traffic, interference and body mobility.

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Wireless body area networks: a comprehensive survey

Cited by 36 publications

References 30 publications

Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

Using Wireless Sensor Network to Correct Posture in Sports Training Based on Hidden Markov Matching Algorithm

Redes Corporais Sem Fio: Abordagens de MAC para Garantia de Eficiência e Confiabilidade na Comunicação sob Tráfego Dinâmico

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