Smart Band: An Integrated Device for Emergency Management
A. Jackulin Mahariba, Shivam Patel

TL;DR
The paper presents a wearable Smart Band that automatically detects emergencies like kidnapping or medical crises using machine learning on heartbeat data, and relays GPS location to responders without needing a phone.
Contribution
It introduces an integrated wearable device that autonomously detects emergencies through heartbeat analysis and communicates location data directly to responders.
Findings
High accuracy in emergency detection through machine learning.
Reduced false alarms compared to traditional safety devices.
Independent communication capability without reliance on mobile phones.
Abstract
In the event of a kidnapping or a medical emergency, a person is often incapacitated to be able to call for help. And it's usually too late before the first responders arrive on-scene. Currently, a vast array of 'safety' devices available in the market are often far too rudimentary such as double tapping the power button that isn't very practical, or an app on a smart watch that is a huge investment in the first place. The Smart Band aims to eliminate the need for a physical trigger by the person who finds himself in dangerous situations like kidnapping, front-facing some wild animal, heart attack, etc., and rather senses the heartbeat. The Smart Band is designed as a personalized wearable device, wherein the user heart beat rate is collected and trained using machine learning algorithm, which triggers the alert system automatically when the event is identified. Hence the accuracy of…
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