WISCONSIN CARD SORTING TEST BY USING NATURAL USER INTERFACE

Abstract

This document presents a new application developed to solve the qualification problem of the Wisconsin Card Classification Test, which is a tool used by psychologists to help determine disorders in the frontal lobe. A review of the literature on treatments and evaluations of diseases with abnormal development of executive functions that occur both in childhood and in adult life was performed. Technology has taken neuropsychology as its field of action and during the last ten years, several studies have demonstrated the effectiveness of its application in the treatment and evaluation of related diseases. The software found in SourceForge and Github, as well as the applications found on the Internet, are analyzed. The research is based on the use of the natural user interface for the recognition of hand gestures and developed in Unity with C # for the acquisition of data from the Kinect V2 sensor, finally the results show that this method is efficient and effective for the test score.

Keywords: Wisconsin Card Sorting Test, Natural user interface, Kinect V2, Hand gesture recognition.

REFERENCES

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