Abstract:We designed a healthcare system that focuses on emotional aspects to cope with negative emotions in daily life. Our emotional healthcare system integrates emotion recognition based on facial expressions and ECG signals to identify user emotions to provide appropriate services. Recognizing emotions from facial expressions is sometimes difficult to correctly recognize them when users hide their emotions from their appearance. To solve this, emotion recognition using ECG signals is applied because they cannot be controlled by humans, since they are directly affected by mental states including emotions. This paper focuses on emotion recognition using ECG signals. To recognize emotions from them, we adapted the local binary pattern (LBP) and local ternary pattern (LTP) which are favorable local pattern description methods for emotion recognition by facial expressions. We evaluated the LBP and LTP performances. Our results indicate that they effectively extracted ECG features with high accuracy. In real-time evaluation, we experimentally evaluated its efficiency and effectiveness for recognizing negative emotions. Our results show that the real-time emotion recognition from ECG signal is beneficial and efficient enough for emotional healthcare system to analyze negative emotions to provide assistance.
In the 21 st century, the Kansei values of industrial products are considered very important. In this study, we focused our attention on kawaii as a Kansei value for future industrial products, and analyzed kawaii attributes systematically to construct kawaii products. After performing a simple experiment using magnets, we performed another experiment with kawaii colors and shapes in two-dimensional plane and three-dimensional virtual space.
In the 21 st century, the Kansei values of industrial products are considered very important. Kawaii is one of the important Kansei values for future interactive systems and industrial products. However, since only few studies have focused on kawaii attribute, we systematically analyze the kawaii interfaces themselves, that is, the kawaii feelings caused by such attributes as shapes, colors, and materials. In previous experiments, we obtained interesting tendencies about kawaii attributes. For example, if an object has more brightness and more saturation, more participants chose it as most kawaii for every hue. The most commonly chosen hue was purple for both men and women. However, since we have not studied intermediate hues based on the Muncell Color System, we systematically experimented on the color elements to clarify the tendencies of kawaii colors. The experimental results clarified the tendencies of kawaii colors for each color element, such as hue, saturation, and brightness.
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