Computers are becoming more and more aware of human emotions

Computers Are Becoming More And More Aware Of Human Emotions

It sounds like science fiction, a technology that can understand human emotions. However, large companies such as Apple, Intel and Microsoft are conducting research on this.Egon van den Broek, a researcher at the University of Twente, is also working onAffective computing“The focus is on measuring speech, sweat secretion, muscle tone, body temperature and heart rate.

Van den Broek is dedicated to studying the emotions of three different groups: patients with post-traumatic stress disorder, children with autistic characteristics, and children with antisocial behavior disorders. Nowadays, it is very easy to measure signals, for example via a smartphone. And you can also use Microsoft’s Kinect. This explains the movement of our body. Van den Broek explained: “Twenty years ago, measurement was still a problem, but now our smart phones have excellent cameras, web cameras are highly developed, and there are many new devices. Images of someone under wires and sensors It’s history. Measuring all these emotions is no longer a difficult task. The trick is to translate and understand all these signals. This is my research. We can use mathematical models to better explain those emotions.”

Post-traumatic stress disorder
In this study, 25 women reported their traumatic experiences. The scientist recorded and analyzed the speech signal. The voice signal has fully explained our emotions. Another advantage is that these treatments are recorded more frequently and patients are used to it. In dealing with trauma, this research seems to be particularly successful.

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Autism
Van den Brock said that Van den Brock also conducts research on children with autism, a difficult group. Affective computing Can help determine the diagnosis. For example, use an eye tracker to analyze eye movements. In the future, this analysis can be taken over via a webcam or a camera in a smartphone. With this camera, you can observe the movement of the corners of the mouth, eyebrows and lips.However, until now, facial movements have been performed using biometric signals (the so-called EMG)measuring. In addition, the heart rate and sweat production were also checked.

The third category is adolescents who suffer from antisocial behavior disorders. They are usually aggressive and are more likely to eventually commit a crime. In addition to using eye trackers, we also use devices that we wear on our bodies to measure signals.This technology is emerging, and it is close behind Affective computing used. In this way, the sensor is placed directly on the skin or in contact with the skin, for example, through jewelry. We have to consider Google glasses, certain clothing or watches.