Emotion Estimation Using Single-Channel EEG and Heart Rate Variability for Industrial Applications

• Published in: 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) pp. 195 - 197
• Main Authors: Feng, Chen, Jadram, Narumon, Nakagawa, Yuri, Sugaya, Midori
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.09.2024
• Subjects: arousal; Brain modeling; Collaboration; Companies; Data models; EEG; Electroencephalography; emotion estimation; Estimation; Heart rate variability; industrial application; Product design; Real-time systems; User experience; valence

The industrial world is shifting from mass production to meeting individual needs, requiring guidelines to incorporate emotions and preferences. Traditional questionnaires fall short in capturing detailed real-time emotion changes. Therefore, we propose a novel approach using Electroencephalography(...