John Silva John Silva Author
Title: software can detect depression
Author: John Silva
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SimSensei, developed by researchers at the University of Southern California, to diagnose from the voice of psychological disorders. By...
SimSensei, developed by researchers at the University of Southern California, to diagnose from the voice of psychological disorders.

By analyzing facial expressions, gestures, and prosody, the software called SimSensei can detect with great accuracy the depressive state of a person. This virtual psychologist device is based on Microsoft Kinect technology which, combined with a computer algorithm, allows the recognition of movements and facial expressions. Popular by Google or by Facebook for ad targeting on the Internet, computer algorithms are now widespread in the medical field.

virtual analysis

The report published by the Institute for Creative Technologies (ICT) gives us information about its operation. All data collected by SimSensei are analyzed by an application, multisense, who works from a pre-established psychological depression of the model. The patient is installed in front of the sensor and answers a series of questions from the avatar named Ellie by its creators. The virtual psychologist enough time to respond before resuming the conversation taking into account the reactions of the patient. The report reveals how the software works in real time from the retrieved information. A model is then made from the movements of the face and voice inflection. The application determines if the person to finish this or not depression. Tested on a group of 60 people of which 30 had been diagnosed as depressed, SimSensei identified 90% of people with depression.

However, researchers acknowledge that the assessment of depression is not just only to tangible clues. The presence of a psychologist is needed to establish a true medical diagnosis. This innovation is still a revolution in the field of e-health. A revolution that worried. Detractors fear and it is used during the job interview.

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