Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems

Abstract

The rise in technology has had a tremendous impact in the field of healthcare. Moreover, the Internet of Things and ubiquitous computing when applied to the field of healthcare can ease the process by helping doctors better monitor their patients thereby enabling a speedy recovery. This paper proposes three systems to demonstrate the wide array of fields in healthcare and everyday life where Internet of Things can be applied. The first is a system to monitor infants while they sleep to detect crying. Once detected the system swings the cradle and also alerts the parents. The second system aims to help in rehabilitation of patients undergoing corrective knee surgery or other knee related procedures. This is done with the help of accelerometers attached to the joint which interfaces with a microcontroller and constantly monitors the knee movements. The last system aims to help the blind wear the right combination of clothing. This is achieved using image and pattern recognition.

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