Real-Time Data Processing

What is Real-Time Data Processing?

Real-time data processing refers to the continuous, low-latency analysis of incoming sensor and system data to extract actionable insights without delay. In the context of human-machine systems, this involves the real-time interpretation of multimodal biosignals (e.g. EEG, EDA, eye movements, motion, voice) in order to assess cognitive states, trigger adaptive system responses, or support time-sensitive decision-making.

Real-time capability is essential in safety-critical domains such as defense operations, remote control, or aviation, where milliseconds can define mission outcomes. It enables closed-loop architectures, enhances human-system synchrony, and supports adaptive interfaces that respond to fluctuating operator conditions in the moment they occur.

Our Expertise

HML develops high-performance, validated real-time data pipelines for operationally relevant environments. Our expertise encompasses the full stack of sensor-to-decision chain engineering in research and applied defense contexts.

Key competencies include:

• Real-time signal acquisition and synchronization, including EEG, ECG, respiration, motion, and eye-tracking data across multiple systems

• Artifact correction and quality-assured segmentation, optimized for mobile, simulation, and high-interference environments

• High-resolution feature extraction pipelines, generating more than 5,000 features per channel using brute-force and hybrid methods

• Multimodal sensor fusion and integrated signal modeling, combining neuro-, psycho-, and behavioral signals for robust inference

• Deployment of machine learning architectures for adaptive state detection, leveraging transfer learning, online learning, and explainable AI

• Validation frameworks for time-critical system behavior, covering latency analysis, signal dropout management, and fail-safety measures

Our approach is scientifically grounded, modular, and operationally robust - capable of handling the cognitive complexity and data volatility present in real-world mission settings.

What We Offer

We provide tailored solutions and development support for partners seeking to integrate real-time data processing into human-machine systems:

• Custom-engineered real-time processing modules for defense, aviation, simulation, or field deployment, including remote control applications such as ground control stations for RPAS (Remotely Piloted Aircraft Systems) and autonomous driving platforms

• Adaptive data pipelines ready for simulation labs, testbeds, and operational systems

• Integrated software frameworks for biosignal acquisition, preprocessing, and live classification

• Expert support for algorithmic integration into existing command & control or cockpit systems

• Validated toolchains for signal quality assurance, latency benchmarking, and model deployment

• Joint R&D formats for scalable pipeline development under real-world constraints

All components are developed with an emphasis on system stability, compliance, and rapid adaptation to mission-specific requirements.

Get in Touch

Whether you are looking to upgrade your simulation environment, develop adaptive operator interfaces, or explore biosignal-driven system logic - we are here to support you. Please feel free to contact us for a non-binding consultation or technical discussion. We welcome opportunities for collaboration, joint development, or tailored integration support.