| Issue |
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202450701025 | |
| Published online | 29 March 2024 | |
Promoting sustainable safety: Integrating fall detection for person and wheelchair safety
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India.
2 The Islamic university, Najaf, Iraq.
3 Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India.
4 Lovely Professional University, Phagwara, Punjab, India.
5 Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, Uttar Pradesh, India.
* Corresponding author: sanjeeva1690@grietcollege.com
Fall detection systems are crucial for ensuring the safety of the elderly, especially those who are wheelchair-bound. A potential remedy involves promptly detecting human falls in near real-time to facilitate rapid assistance. While various methods have been suggested for fall detectors, there remains a necessity to create precise and sturdy architectures, methodologies, and protocols for detecting falls, particularly among elderly individuals, especially those using wheelchairs. The objective is to design an affordable and dependable IoT-based system for detecting falls in wheelchair users, alerting nearby individuals for assistance and promote sustainable safety. The setup includes a MEMS Sensor, GSM module, and Arduino UNO microcontroller for detecting falls, with the goal of securing the well-being and promoting independent living for the elderly.
© The Authors, published by EDP Sciences, 2024
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