Facial expressions and cartoons

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A facial expression [1] is one or more motions or positions of the muscles beneath the skin of the face. According to one set of controversial theories, these movements convey the emotional state of an individual to observers. Facial expressions are a form of nonverbal communication. They are a primary means of conveying social information between humans , but they also occur in most other mammals and some other animal species. Humans can adopt a facial expression voluntarily or involuntarily, and the neural mechanisms responsible for controlling the expression differ in each case. Voluntary facial expressions are often socially conditioned and follow a cortical route in the brain. Conversely, involuntary facial expressions are believed to be innate and follow a subcortical route in the brain.

But an author of the original report — published nearly three decades ago — says that the new analysis has shortcomings, and may not represent a direct replication of his work. The paper has been cited more than a thousand times, and has been followed by other research into facial feedback. In , for example, researchers reported that injections of Botox, which affects the muscles of facial expression, dampen emotional responses 2. But as part of a growing trend to reproduce famous psychology findings , a group of scientists revisited the experiment. They describe the collective results of 17 experiments, with a total of nearly 1, participants, in a paper published on 26 October in the journal Perspectives on Psychological Science 3.

We propose an expression transmission system using a cellular-phone-type teleoperated robot called Elfoid. Elfoid has a soft exterior that provides the look and feel of human skin, and is designed to transmit the speaker's presence to their communication partner using a camera and microphone. To transmit the speaker's presence, Elfoid sends not only the voice of the speaker but also the facial expression captured by the camera. In this research, facial expressions are recognized using a machine learning technique.