A Preliminary Investigation on Frequency Dependant Cues for Human Emotions

The recent advances in Human-Computer Interaction and Artificial Intelligence have significantly increased the importance of identifying human emotions from different sensory cues. Hence, understanding the underlying relationships between emotions and sensory cues have become a subject of study in many fields including Acoustics, Psychology, Psychiatry, Neuroscience and Biochemistry. This work is a preliminary step towards investigating cues for human emotion on a fundamental level by aiming to establish relationships between tonal frequencies of sound and emotions. For that, an online perception test is conducted, in which participants are asked to rate the perceived emotions corresponding to each tone. The results show that a crossover point for four primary emotions lies in the frequency range of 417-440 Hz, thus consolidating the hypothesis that the frequency range of 432-440 Hz is neutral from human emotion perspective. It is also observed that the frequency dependant relationships between emotion pairs Happy-Sad, and Anger-Calm are approximately mirrored symmetric in nature.

Automated summary

The recent advances in Human-Computer Interaction and Artificial Intelligence have increased the importance of identifying human emotions. This study establishes the relationships between tonal frequencies of sound and emotions, providing a preliminary understanding of human emotion cues. The results show that there is a crossover point for four primary emotions in the frequency range of 417-440 Hz, and the frequency dependant relationships between emotion pairs Happy-Sad and Anger-Calm are approximately mirrored symmetric in nature.