Harnessing IoT for Suicide Prevention: A Review of Sensor Technologies and Their Potential in Preventing Suicidal Hanging
- DOI
- 10.2991/978-94-6463-704-5_11How to use a DOI?
- Keywords
- Suicide; IOT; Microprocessor; Sensors
- Abstract
Suicide ranks among the leading causes of death worldwide. In that, Data from the National Crime Records Bureau indicates that hanging suicide identified as the most common method especially in young people. It is imperative to proactively address this issue by exploring and implementing solutions aimed at reducing the suicide rate related to hanging. One potential solution is to create a sensor device that can be attached to a ceiling fan, designed to detect objects associated with suicide attempts, such as ropes, dupattas or sarees. The device would be equipped with an alarm system, triggering an alert to the responsible person/control room. This individual can then intervene promptly and, if necessary, send a distress message via SMS to the concerned person’s close contacts or house owner, informing them of the potential suicide attempt. This proactive approach can be instrumental in delivering timely assistance and support to those in distress.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sulochana Shejul AU - Vijay Dhangar AU - Pravin Dhole AU - Bharti Gawali PY - 2025 DA - 2025/04/30 TI - Harnessing IoT for Suicide Prevention: A Review of Sensor Technologies and Their Potential in Preventing Suicidal Hanging BT - Proceedings of the International Conference on Smart Health and Intelligent Technologies (ICSHit-2024) PB - Atlantis Press SP - 123 EP - 141 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-704-5_11 DO - 10.2991/978-94-6463-704-5_11 ID - Shejul2025 ER -