MIRAFX Dynamics

Temporal Feature Extraction Engine

From raw physiological sensor data to hundreds of ML-ready temporal features with clinical insights.

MIRAFX Dynamics is the comprehensive feature extraction engine that transforms multi-modal physiological sensor data into rich temporal feature datasets for machine learning and clinical research. Extract 100+ validated features automatically with proper temporal alignment and ground truth integration.

Core Innovation

Temporal Feature Extraction

Generates 100+ statistical features across five analytical dimensions: duration, amplitude, speed, frequency, and variability.
Multi-Modal Processing

Simultaneously processes synchronized data streams from ocular, head movement, facial expression, and cardiovascular sensors.
Clinical Foundation

Features incorporate medically-relevant thresholds based on clinical research for fatigue, attention, and cognitive load detection.
Zero Manual Engineering

Automatically extracts comprehensive feature sets without manual specification, leveraging domain expertise.

Key Capabilities

Ocular measurements: Blink dynamics, pupil diameter, gaze patterns, eye movement analysis
Head movement data: 3-axis orientation, position stability, movement velocity and acceleration
Facial expressions: Mouth aperture for yawn detection, facial muscle activity patterns
Cardiovascular signals: Heart rate variability, autonomic nervous system indicators

Comprehensive Feature Space

Duration features: Event timing, threshold-based categorical analysis, temporal patterns
Amplitude features: Magnitude of responses, range-based filtering, peak quantification
Speed features: Rate of change, movement velocity, transition dynamics
Frequency features: Event occurrence rates, pattern repetition, temporal density
Variability features: Signal stability, consistency measures, fluctuation patterns

Intelligent Processing

Temporal window analysis: Configurable sliding windows with high-resolution output
Backward-looking windows: Historical data only, preventing future leakage for ML training
Multi-rate synchronization: Aligns data from sensors with different sampling rates
Quality management: Robust handling of variable rates, missing data, and sensor noise

Clinical Foundation

Research-based thresholds: Medically-relevant feature boundaries for fatigue and attention detection
Validated categories: PERCLOS, blink patterns, gaze stability, and cognitive load indicators
Domain expertise: Incorporates years of clinical research insights automatically
Scientific rigor: Complete feature documentation for validation and compliance

Applications

Machine Learning Engineering - Predictive model training datasets - Feature engineering automation - Algorithm benchmarking

Clinical Research - Behavioral pattern analysis - Neurological function studies - Large-scale study processing

Safety Systems Development - Real-time alertness monitoring - Fatigue detection algorithms - Driver monitoring systems

Data Science Research - Human performance analysis - Physiological pattern discovery - Population-level studies

Technical Highlights

Cross-platform compatibility: Windows, Linux
C++ performance: High-speed processing with minimal dependencies
ML-ready output: Standard CSV format with timestamps and ground truth labels
Multi-modal synchronization: Handles different sampling rates and data sources
Clinical validation: Research-based feature thresholds and categories

Ready to Extract Features?

Transform your physiological data into ML-ready features with clinical insights built-in.

Contact Us

About Us
Expert Software Consulting & Engineering delivering robust, scalable solutions for AI, algorithms, and mission-critical software development.

Services
Custom Software Development
AI & Machine Learning
Architecture & Design
Standards Compliance
Integration & APIs

Contact
+32 476 862 863
contact@mirafx.com
Linkedin
Liège, Belgium