Internet of Things for Libya Healthcare System: Challenges and Issues
Abdulshahed, Ali M.
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This paper proposes a system based on the Internet of Things to Human Activity Recognition by monitoring and processing smartphone sensors remotely. A machine learning algorithm could be used to determine the activity done during the day. Meanwhile, it is expected to give a feedback during and after the activity is performed, using the machine learning method with remote visualization and intelligent decisions. All in all, it is hoped that the outcome of this proposed work will be beneficial for government officials, health policy makers, and healthcare providers in the area of the healthcare industry.