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.
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