Publication: Evaluación de impulsividad con Microsoft Kinect
Loading...
Identifiers
Publication date
2014-03
Defense date
2014-03-04
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
El objetivo de este proyecto es minimizar uno de los principales problemas actuales en los campos de la psicología clínica y la psiquiatría: la carencia de medidas objetivas que caractericen el estado del paciente. Esto produce que, a veces, se necesiten varias visitas hasta que el paciente reciba el diagnóstico correcto (y por tanto, el tratamiento adecuado) e impide valorar adecuadamente la evolución de la enfermedad y la efectividad de los fármacos.
En este Trabajo de Fin de Grado, se desarrolla un nuevo sistema de medición de impulsividad utilizando el dispositivo Microsoft Kinect. La impulsividad es un índice utilizado frecuentemente en el diagnóstico de enfermedades mentales como son el Trastorno por Déficit de Atención e Hiperactividad, la conducta suicida, o el abuso y adicción a sustancias estupefacientes. Con el objetivo de desarrollar este sistema, se analizaron, primeramente, las distintas maneras de medir este constructo. De este estudio, se obtuvo que el CPT-II de Conners y el Test Of Variables of Attention (T.O.V.A) eran las pruebas más utilizadas. En estas dos pruebas, el individuo debe presionar la barra espaciadora del teclado ante determinados estímulos que se le presentan en una pantalla e inhibir dicha acción ante otros estímulos.
Estos dos tests computarizados presentan varias limitaciones. Entre ellas, se encuentra que muchas acciones y comportamientos del individuo durante la prueba no quedan registrados y por lo tanto, no son utilizados en los análisis. Por ejemplo, en muchas ocasiones los sujetos inician la acción de pulsar la barra espaciadora ante un estímulo inhibitorio, pero antes de llegar a pulsarla se dan cuenta del tipo de estímulo que es y detienen la acción. Con el objetivo de registrar este tipo de comportamientos, en este proyecto se considera la posibilidad de captar el movimiento del sujeto mientras realiza la prueba.
Para incorporar la captura de movimiento en las pruebas de impulsividad, se estudiaron las diferentes técnicas existentes. De este análisis, se escogió la cámara Microsoft Kinect para la realización del proyecto debido a: 1) que permite la captura de movimiento de manera no intrusiva, y 2) su bajo coste que permitiría su implantación en un entorno tanto clínico como doméstico.
El sistema desarrollado implementa los tests CPT-II y T.O.V.A utilizando la cámara Kinect como dispositivo de entrada: en lugar de presionar la barra espaciadora, el sujeto levanta su mano dominante. De esta forma, permite registrar el comportamiento del individuo durante todo el desarrollo de la prueba, solucionando los problemas descritos anteriormente.
Con el objetivo de evaluar el sistema, se realizó un experimento a 22 personas. Estas personas realizaron el CPT-II tanto en su versión clásica como en la desarrollada en este proyecto. Los resultados del análisis del experimento mostraron que el nuevo sistema de medición es capaz de mejorar ciertas medidas existentes, sin empeorar el resto.
The aim of this Bachelor Thesis is to mitigate one of the main problems in clinical psychology and psychiatry: the absence of objective measures that characterize the patient’s mental condition. It implies the need of several appointments in order to make a correct diagnosis to the patient (and therefore, a correct treatment) and the inability to properly assess the disease’s evolution and the effectiveness of drugs. In this Bachelor Thesis, a new impulsiveness measuring system using Microsoft Kinect device is developed. Impulsiveness is a marker frequently used on the assessment of mental diseases such as Attention Deficit Hyperactivity Disorder, suicidal behavior, or abuse and addiction to narcotics. The different existing methods that measure this construct were studied in order to develop the new system. From this study, it was found that the Conners’ CPT-II and the Test Of Variables of Attention (T.O.V.A) were the most commonly used tests. In these two computerized tests, the individual should press the spacebar each time certain stimuli are shown on a screen, but he should inhibit that action when other stimuli are presented. These two tests present some limitations. Among them, it can be found that several individual actions and behaviors are not registered during the test, and therefore not considered in the later analysis. For example, the situation in which an individual begins the action of pressing the spacebar, but he cancels that action when he realizes about the type of stimulus being presented. This project considers the motion capture of the subject while he is performing the test, with the aim of registering such behaviors. After studying the different existing techniques on motion capture, Microsoft Kinect was chosen for this project due to: 1) it allows a non-intrusive motion capture, and 2) its low cost allows its implantation on both clinical and domestic environments. The developed system implements both tests, CPT-II and T.O.V.A using Microsoft Kinect as input device: the subjects react to stimuli by raising their dominant hand instead of pressing keyboard’s spacebar. Tracking the dominant hand allows to detect the actions where the subject starts the action but backs-up before hitting the spacebar, solving the problem previously defined. An experiment with 22 people was made in order to assess the new system. The individuals performed the CPT-II on both the classical version and the new one. The results from the experiment analysis showed that the new measuring system is capable of improving certain measures, without worsening the others.
The aim of this Bachelor Thesis is to mitigate one of the main problems in clinical psychology and psychiatry: the absence of objective measures that characterize the patient’s mental condition. It implies the need of several appointments in order to make a correct diagnosis to the patient (and therefore, a correct treatment) and the inability to properly assess the disease’s evolution and the effectiveness of drugs. In this Bachelor Thesis, a new impulsiveness measuring system using Microsoft Kinect device is developed. Impulsiveness is a marker frequently used on the assessment of mental diseases such as Attention Deficit Hyperactivity Disorder, suicidal behavior, or abuse and addiction to narcotics. The different existing methods that measure this construct were studied in order to develop the new system. From this study, it was found that the Conners’ CPT-II and the Test Of Variables of Attention (T.O.V.A) were the most commonly used tests. In these two computerized tests, the individual should press the spacebar each time certain stimuli are shown on a screen, but he should inhibit that action when other stimuli are presented. These two tests present some limitations. Among them, it can be found that several individual actions and behaviors are not registered during the test, and therefore not considered in the later analysis. For example, the situation in which an individual begins the action of pressing the spacebar, but he cancels that action when he realizes about the type of stimulus being presented. This project considers the motion capture of the subject while he is performing the test, with the aim of registering such behaviors. After studying the different existing techniques on motion capture, Microsoft Kinect was chosen for this project due to: 1) it allows a non-intrusive motion capture, and 2) its low cost allows its implantation on both clinical and domestic environments. The developed system implements both tests, CPT-II and T.O.V.A using Microsoft Kinect as input device: the subjects react to stimuli by raising their dominant hand instead of pressing keyboard’s spacebar. Tracking the dominant hand allows to detect the actions where the subject starts the action but backs-up before hitting the spacebar, solving the problem previously defined. An experiment with 22 people was made in order to assess the new system. The individuals performed the CPT-II on both the classical version and the new one. The results from the experiment analysis showed that the new measuring system is capable of improving certain measures, without worsening the others.
Description
Keywords
Medición de impulsividad, Microsoft Kinect, Proceso de señales