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Erschienen in:
2024 | OriginalPaper | Buchkapitel
Empowering Women’s Safety Through IoT-Based Wearable Devices: A Framework for Real-Time Monitoring and Alerting
verfasst von : Suraiya Amin Barsha, Md. Abu Ismail Siddique, Shohaib Ahmad
Erschienen in: Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning
Verlag: Springer Nature Singapore
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Abstract
To empower women’s safety, this study presents a framework for real-time monitoring and warning using IoT-based wearable devices. Women’s safety is a major problem throughout the world, and the usage of wearable gadgets to solve this issue is becoming increasingly popular. To detect possible risks and warn users and emergency services in real time, the proposed system employs a mix of sensors, communication technologies, and frontier technologies. A unified dashboard for data analysis and management is also included in the system. The article goes into the technical components of the proposed framework as well as its possible influence on women’s safety. Overall, the suggested framework might help to create a safer atmosphere for women, giving them more confidence and security in their everyday lives.