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Smart city article details
| Title | Elder Care System Using Iot And Machine Learning In Aws Cloud |
|---|---|
| ID_Doc | 22485 |
| Authors | Srinivasan A.; Natarajan N.; Karunakaran R.V.; Elangovan R.; Shankar A.; Sabharish P.M.; Sreeja B.S.; Radha S. |
| Year | 2020 |
| Published | HONET 2020 - IEEE 17th International Conference on Smart Communities: Improving Quality of Life using ICT, IoT and AI |
| DOI | http://dx.doi.org/10.1109/HONET50430.2020.9322834 |
| Abstract | Elder neglect is one of the most prevalent yet underestimated types of elder abuse. It can be associated with adverse health outcomes for the elders. IoT-based elder care systems have been widely used in today's scenario; however, the existing systems require a manual operation by the elders, which is not practical during emergency situations. The presented work is an entirely autonomous alerting system which does not require manual operation by the elder. It has a wearable module consisting of sensors connected to an ESP32 and a home module consisting of an IoT Camera connected to a Raspberry-Pi. Body vitals collected through the sensors are processed using machine learning in the Amazon Web Services cloud. If an abnormality is detected, alerts are sent to the caregivers. Other key functionalities such as vital monitoring, fall detection, and location tracking are also implemented. Computer Vision has been employed to address everyday challenges such as irregular medicine intake. © 2020 IEEE. |
| Author Keywords | Amazon Web Services; Computer Vision; Fall Detection; IoT; Location Tracking; Machine Learning; Vital Monitoring |
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