Multimodal eeg-fnirs-ppg headband for real-time consumer emotion analytics
A lightweight wearable headband integrating EEG, fNIRS, and PPG sensors to capture and analyze real-time consumer emotions during product interactions. It utilizes AI models to decode implicit brain states, offering deeper insights into consumer perception and decision-making.
Overview
The Multimodal EEG-fNIRS-PPG headband is a cutting-edge wearable device designed to revolutionize consumer emotion analytics. By integrating electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and photoplethysmography (PPG) sensors, this headband captures neural activity and hemodynamic responses in real-time. The device is engineered for ecological validity, allowing natural movement and repeated testing, which supports scalable deployment across various consumer settings. This platform enables researchers to gain a deeper understanding of consumer perception, experiences, and emotional responses to products and packaging.
Technical specifications
Key features:
- Multimodal sensor integration: Combines EEG, fNIRS, and PPG to provide comprehensive data on neural and physiological responses.
- Real-time analysis: Proprietary AI models fuse these multimodal signals to decode implicit consumer brain states, such as attention, cognitive load, and emotional valence.
- Ecological design: The headband is lightweight and wearable, supporting natural user movement and scalable across diverse populations.
- Enhanced insights: Provides mechanistic insights into consumer responses, offering predictive capabilities for product interaction.
Technology readiness level
This headband is at Technology Readiness Level 8, indicating that the system has been tested, validated, and is ready for deployment in realistic operational environments. The platform is poised for deployment in consumer research settings, offering validated neural biomarkers and predictive models. The technology is set for a three-phase collaboration to further refine and validate its capabilities across diverse product categories.
About Brain-Life
Brain-Life is a neurotechnology startup specializing in AI-driven mental health monitoring solutions. The company has developed a cloud-based pipeline that integrates advanced machine learning models with various biosignals—including EEG, PPG, and fNIRS—to provide real-time, high-resolution analysis. By utilizing multimodal data, the system achieves enhanced accuracy and reliability in health metric tracking. The platform is designed for scalability and operational efficiency, leveraging Google Kubernetes to support millions of users while maintaining low-latency performance and robust security standards. The technology features self-optimizing machine learning models that automatically adapt and retrain as new data becomes available, specifically aimed at improving the performance and reliability of wearable devices. These capabilities allow the platform to minimize human error and provide scalable health management infrastructure for IoT applications.
delivered to your inbox.