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IoT Enhanced Fitness Tracker

Shobha S. Metkari, Disha R. Kale, Urmila R. Khandekar, Suranjali B. Jagtap

Abstract


Global fitness club development is accelerating due to the expansion of the international economy. In the meantime, the fitness sector is expanding, particularly among metropolitan white-collar workers. People need more scientific and useful direction to build their bodies in the current situations. In this work, we develop a fitness system based on the Internet of Things (IoT) to track the health conditions of exercisers. Exercisers can receive guidance from the system. Sensors and fitness bands gather exercise data while you exercise. These data are then forwarded to the system for analysis. This type of system's architecture is a trend for fitness applications in the future.


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References


Ghosh A.M. et al. Remote health monitoring system through IOT.

Huang C.H. et al. RFID technology combined with IoT application in medical nursing system. (2014).

Jies. et al. 3d convolutional neural networks for human action recognition. (2013).

Kim J. et al. Standard-based iot platforms interworking: implementation, experiences, and lessons learned (2016).

Krizhevsky A. et al. Imagenet classification with deep convolutional neural networks.

Kumarawadu S. et al. Adaptive output tracking of partly known robotic systems using SoftMax function networks.

LeCun.Y et al. Gradient-based learning applied to document recognition.

Nugra H. et al. A low-cost IoT application for the urban traffic of vehicles, based on wireless sensors.


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