Emotion Estimation Using EEG and Heart Rate Variability

This technical report presents a novel approach for emotion estimation in industrial applications using Electroencephalography (EEG) and heart rate variability (HRV). The objective is to address the limitations of traditional questionnaires in capturing real-time emotional changes. The authors propose a method that utilizes the 2D Arousal-Valence model to visualize emotion changes in response to external stimuli. The report details joint research conducted with the home and personal care sector and the automotive industry to evaluate emotional responses. The findings suggest that EEG and HRV technologies can enhance understanding of consumer emotions, thereby improving product design and user experience. The report also discusses the importance of collaboration between academia and industry to effectively integrate these methodologies into practice. It highlights the potential applications of this technology in various sectors, emphasizing the need for ongoing research to overcome challenges in interpreting physiological signals and implementing these methods effectively.