Voice Controlled Wheel Chair with Fall Detection Using Iot
Authors:-Aarthi B, Dharshana S P, Dharshini k, S.Hari Kumar
Abstract-This project aims to design and implement an assistive system for people with disabilities, combining voice- based wheelchair control, health monitoring, and emergency alert features. The system utilizes an Arduino Nano, Bluetooth communication, a mobile application, and various sensors to monitor the user’s health status in real-time. The wheelchair can be controlled via voice commands received from a mobile app, allowing users to move the wheelchair with simple verbal instructions. Health monitoring is achieved through sensors that track the user’s heart rate, body temperature, and detect falls using an accelerometer. In the event of an emergency, the system can send notifications via SMS using a GSM module, which includes the user’s GPS location and health data. Additionally, all sensor data is uploaded to the ThingSpeak IoT platform for remote monitoring and analysis. This integrated system provides not only mobility assistance but also enhances safety and well-being for disabled individuals by offering real- time health status updates and emergency alerts.
