Wearable IoT based cloud assisted framework for swimming persons in health monitoring system
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Wearable IoT based cloud assisted framework for swimming persons in health monitoring system Hongyan Zhou 1 & Carlos Enrique Montenegro-Marin 2 & Ching-Hsien Hsu 3
# Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Wearable sensors devices play an important role in healthcare applications. Further, The Body Sensor Network is a monitoring system extended to a health care context based on IoT technologies, composed of connected or implantable sensors. Medical therapy and general fitness are important elements of public health services. Therefore this paper suggested that Wearable electromagnetic measurement systems help the clinicians in physical therapy track and assess important recovery criteria and performance indicators. The swimming mechanism is easily captured by the movement of truck and limb action. Hence this approach concentrates on Cloud Assisted Recurrent Neural Network (CA-RNN) with multi-target optimization technique is mainly used to control the swimming movement and to balance the synapse weight between motor neuron. RNN is used for balancing the swimming motion and to control the weight transmission between the sensor and motor neurons. Cloud assisted frameworks can offer additional value to the safety, education, and quality of life due to the wide adoption of wearable sensor technology-based applications. Keywords Wearable devices . Multi-target techniques . Cloud-assisted framework . Healthcare
Introduction to Wearable Devices for Swimming Persons Wearable devices are nothing but smart devices that can be worn on the body. Smart devices such as activity trackers keep data track without human interference (Ahmed et al. 2017). Wearable technology is a type of electronic device (James et al. 2011a). Wearable devices are mobile technologies or gadgets that can be conveniently used on the body (Manogaran et al. 2019). Wearable devices are electronic devices. Such wearable devices are used for real-time tracking of
* Hongyan Zhou [email protected] Carlos Enrique Montenegro-Marin [email protected] Ching-Hsien Hsu [email protected] 1
School of Physical Education, Hunan University of Arts and Science, Changde 415000, Hunan, China
2
Facultad de ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia
3
Asia University, Taichung City, Taiwan
details (Kos and Umek 2018). They are equipped with motion sensors that take your daily activity snapshot and sync them with mobile devices or laptops (Baskar et al. 2020). The portable devices are the next major innovation in the technological world after the advent of smartphones (Dadashi et al. 2013). Such wearable devices were used in military technology even before wearable technology reached the consumer market (Shakeel et al. 2018). They measure temperature, moisture, acceleration, pulse, and more using sensors (Mullane et al. 2011). Wearable devices are used in many applications such as education, recreation, agriculture, and navigation, which have been incorporated into different areas (S
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