Edvance HealthSense — Intelligent Wearable Biometrics & Fall Detection
November 17, 2025
HealthSense is an AI-driven wearable platform built using ESP32-C3 hardware that detects falls, captures biometrics, and monitors motion using advanced sensor fusion and machine learning.
Reimagining Personal Health Monitoring
HealthSense reimagines personal health monitoring with a next-generation wearable designed for accuracy, reliability, and intelligence. Built on ultra-efficient ESP32-C3 hardware and powered by high-precision sensors like the MPU6050 and MAX30102, the device continuously tracks motion, orientation, heart rate, and possible fall events.
The companion cloud service analyzes movement patterns using ML models trained with simulated data from biomechanical tools such as OpenSim and PyBullet. The result is a lightweight yet powerful health assistant that can detect dangerous events in real time, notify caregivers, track vital signs, and adapt to the wearer's daily routine.
Advanced Sensor Fusion
At the heart of HealthSense is sophisticated sensor fusion technology. The MPU6050 6-axis IMU captures precise motion and orientation data, while the MAX30102 pulse oximeter monitors heart rate and blood oxygen levels. These sensors work in concert to provide a comprehensive picture of the wearer's health status.
The ESP32-C3 SuperMini microcontroller processes sensor data in real-time, applying intelligent filtering and pattern recognition algorithms to distinguish between normal activities and potential health events. Power management is optimized through the TP4056 charging circuit and Li-ion battery system, ensuring all-day operation.
AI-Powered Fall Detection
HealthSense's fall detection system leverages advanced machine learning trained on diverse movement patterns and fall scenarios. The system is designed to achieve high detection accuracy while minimizing false alarms from normal activities like sitting down or exercising.
When a fall is detected, the system provides rapid alerts to caregivers or emergency contacts, ensuring timely assistance when it matters most.
Development Status
The hardware prototype is functional with all core components integrated: ESP32-C3 SuperMini microcontroller, MPU6050 6-axis motion sensor, MAX30102 heart rate and blood oxygen sensor, along with charging and power management systems.
The platform is progressing through active development and testing phases, with ongoing work on ML model optimization, real-time dashboard features, and caregiver notification systems.
Conclusion
From elderly care to industrial safety, HealthSense brings cutting-edge embedded engineering together with intelligent AI processing to protect and empower people. By combining hardware innovation with advanced machine learning, we're creating a health monitoring solution that's both powerful and accessible, ensuring safety and peace of mind for users and their loved ones.