Motion Capture of Emotional Expression Features in the Walking Posture

抄録

Studies investigating the association between emotions and biological information, such as breathing, pulse wave, heartbeat, voice, and facial expression, have suggested that many of them can estimate emotions. However, few studies have linked walking to emotions. In this study, we used optical motion capture to evaluate walking in humans in four emotional states, namely happy, angry, sad, and relaxed, and examined differences for each emotion. We found that walking in happy and sad states had unique features; whereas that in angry and relaxed states, which had few unique features. In other words, happy and sad states are easy to interpret, whereas angry, and relaxed states are a challenge. However, humans can distinguish between angry and relaxed walking. Therefore, in addition to gait, humans may observing other factors, such as how force is applied and the center of gravity.