Machine Learning based Fall Detection Smart Watch

Resumen

The smartwatch was designed to transmit real-time notifications to the user's smartphone in the event of a fall, enabling quick actions. I was able to expand my skills in machine learning, sensor interface, and mobile app development through the project. A smartwatch might be modified to add new features like heart rate monitoring and prescription reminders, which could have significant uses in the healthcare industry. The project provided a great opportunity to learn about wearable technologies and machine learning. The goal of this project is to develop a tool for accurately and quickly detecting falls and alerting emergency contacts, potentially saving lives, and enhancing the quality of life for seniors and people with mobility issues. The project's hardware components include GPS and GSM modules. To increase the fall detection algorithm's accuracy and investigate prospective system extensions and upgrades, the project also involves the collection and analysis of real-world data. The overall goal of this project is to create a useful smartwatch with a fall detection system that can offer critical assistance to those in need and their emergency contacts. The project also involves creating a cloud-based infrastructure to store and process sensor data from the smartwatch, enabling remote data analysis and monitoring. The research also investigates additional potential uses for the smartwatch, such as activity tracking and health monitoring, in addition, to fall detection. Through this initiative, we hope to enhance the lives of people with mobility challenges, their careers, and the expanding field of wearable technology. The project also involves creating a cloud-based infrastructure to store and process sensor data from the smartwatch, enabling remote data analysis and monitoring. The research also investigates additional potential uses for the smartwatch, such as activity tracking and health monitoring, in addition, to fall detection. Through this initiative, we hope to enhance the lives of people with mobility challenges, their careers, and the expanding field of wearable technology.