EchoWear

EchoWear is an AI-powered assistive wearable designed to enhance personal safety and health monitoring for individuals in low-resource and mobility-challenged environments.

The device integrates edge-based artificial intelligence to perform real-time fall detection, gait analysis, and early cardiac-risk monitoring entirely offline, ensuring reliable operation even without internet connectivity. Using a combination of inertial sensors, physiological monitoring, and intelligent pattern recognition, EchoWear continuously evaluates movement stability and vital signs to identify abnormal events such as near-falls, sudden collapses, or irregular heart activity. Multimodal feedback—including haptic alerts and voice interaction—allows users to receive immediate guidance and warnings in an intuitive, non-intrusive manner.

Beyond personal monitoring, EchoWear connects users, caregivers, and health professionals through a secure companion application that translates raw sensor data into actionable insights. The platform supports long-term trend analysis, incident logging, and clinical summaries while prioritizing accessibility, data privacy, and low-power operation. Optimized for African contexts, EchoWear follows an offline-first, mobile-first design philosophy with support for low-resource devices, local language voice interfaces, and robust hardware suitable for everyday use. By combining intelligent sensing with inclusive design, EchoWear aims to reduce preventable injuries, enable early medical intervention, and promote independent living with dignity.