IOT Based Smart Assistive Shoe for Blind and Elderly with Navigation, Health Monitoring, and Unpaired Device Integration

Venkat B ,Himanth B,Navya Sai Sree B,Komal Sai B

Dr.Bhavani S, Associate Professor,

Department of Electronics and Communication Engineering,

Seshadri Rao Gudlavalleru Engineering College

ABSTRACT:Visually impaired and elderly individuals face significant challenges in independent mobility and health monitoring. Traditional assistive devices like walking sticks or basicwearable trackers provide limited functionality and  lack real-time emergency communication. This projectpresents an IoT-based Smart Assistive Shoe that integrates  obstacle detection, navigation guidance, fall detection, and vital health monitoring into a single wearable system. Thesystem uses ultrasonic sensors for obstacle detection,  MPU6050 accelerometer for fall detection, respiratory and pulse oximeter sensors for health monitoring, and temperature sensors for body temperature tracking. Alertsare provided through vibration motors, buzzers, voice modules, and LCD display. In emergency situations, the system transmits real-time location and alert messagesusing GPS and GSM modules. Arduino and ESP32  microcontrollers manage sensor data processing and IoTcommunication. This system enhances personal safety,mobility assistance, and real-time health monitoring for blind and elderly users, providing an affordable and reliable smart wearable solution. Keywords:Smart Assistive Shoe, Obstacle Detection,Fall Detection, Health Monitoring, IoT Communication