Cognitive Attention Training Platform
A research-backed mobile application designed to improve cognitive attention and focus through scientifically-validated training exercises.
Cognitive Attention Training Platform
Overview
A comprehensive system for monitoring stress through physiological signals including heart rate variability, skin conductance, and movement patterns.
System Components
- Wearable sensors for continuous physiological monitoring
- Machine learning models for stress classification
- Real-time dashboard for data visualization
- Intervention protocols based on mindfulness techniques
Implementation
The system uses Arduino-based sensors to collect physiological data, which is processed using Python and TensorFlow for real-time stress classification.
Results
Achieved 87% accuracy in stress detection across a validation study with 45 participants.