Hybrid VOC fingerprinting and ai-driven emotion analysis for consumer insights

Overview

The Hybrid VOC Fingerprinting and AI-driven Emotion Analysis platform offers a cutting-edge approach to understanding consumer emotions and responses during interactions with products and packaging. This innovative solution integrates three main components: an electronic nose (e-nose) for VOC profiling, the BioSensory App for capturing biometric data, and automated AI-driven emotion analysis. By analyzing VOCs associated with stress and autonomic activation, alongside heart rate, blood pressure, and facial expressions, this platform provides a comprehensive view of consumer reactions, aiding in product development and marketing strategies.

Technical specifications

• Electronic Nose (e-nose): Detects and profiles VOCs such as alcohol, acetone, NH3, H2S, CO, and CO2, which are linked to emotional states.
• BioSensory App: Captures self-reported data and records facial videos to measure heart rate and blood pressure in real time.
• Automated Emotion Analysis: Utilizes machine learning to assess emotions, head movements, facial expressions, and engagement, providing real-time insights.
• Multi-modal Integration: Combines VOC data with biometric and video analysis for enhanced predictive modeling using AI.

Technology readiness level

This platform is currently at TRL 3, having demonstrated feasibility in a laboratory environment. The next phases involve controlled consumer studies and further validation to enhance predictive accuracy and commercial applicability.