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About Wheelchair-Person Fall Detection With Internet of Things: Solid State Technology October 2020
This document summarizes a research paper about developing a wheelchair fall detection system using IoT. The system uses a gyroscope, GPS, pressure sensor, and microcontroller placed on a wheelchair to detect falls. When a fall occurs, the location and sensor data is sent via Blynk mobile app to notify registered contacts by email. This low-cost system can be installed on existing commercial wheelchairs to quickly detect falls and seek help for elderly or disabled individuals living independently. Future work could improve the GUI and add more sensors to increase accuracy while maintaining an affordable design.
Detailed Information
| Author: | ['RANJITH V'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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