The Technology
Behind It All
Our wearable system combines multiple biosensors with edge computing capabilities, enabling real-time physiological signal processing and stress estimation directly on the device.
Sensor Suite
Four integrated sensors work together to capture comprehensive physiological data.
PPG Sensor
Optical heart rate monitoring using green LEDs to detect blood volume changes.
EDA Sensor
Measures skin conductance changes associated with sympathetic nervous system activation.
Temperature
Continuous skin temperature monitoring for stress-related thermal changes.
Accelerometer
Detects movement patterns and activity levels for context-aware analysis.
Data Flow Pipeline
From raw sensor signals to actionable stress insights.
Signal Acquisition
Multi-sensor data capture at optimized sampling rates
On-Device Processing
Real-time filtering and feature extraction on ESP32
ML Inference
Stress estimation using trained classification models
Data Transmission
Wireless sync to companion app and cloud storage
Storage & Analysis
Long-term data storage for research analysis
System Architecture
Wearable Device
Sensors + ESP32
Companion App
Visualization + Sync
Cloud Infrastructure
Secure data storage and research analytics
Technical
Specifications
ESP32-WROOM-32
Dual-core 240MHz
520KB SRAM
4MB
WiFi + BLE 5.0
24+ hours
Wrist-worn
<50g
Want to Learn More?
Get in touch with our team to discuss technical specifications, potential collaborations, or research applications.