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Recognizing Human Emotion Based on Applied Force

In this paper, we studied if human emotions (anger, disgust, fear, happiness, and sadness) can be recognized using the force applied to a 6-axis force sensor. We asked human subjects to apply force to the force sensor to convey their emotions. We used the obtained data to extract 11 feature parameters such as the contact duration, the max magnitude of resultant force, and the mean magnitude of resultant force. Using these feature parameters, we trained a random forest classifier and obtained a classification accuracy of 55.5%. We also investigated how well human subjects could recognize the five emotions by the force applied to their shoulders. The human subject's overall accuracy was 55.9%, which was similar to the classifier's accuracy.