Publicação
Biometric analysis of behaviours in serious games
| Resumo: | This document is a Master’s Dissertation, within the scope of data analysis for visualisation and exploration of knowledge in the health area. The thesis herein described is part of the second year of the Master’s in Informatics Engineering, and it was held at the University of Minho in Braga, Portugal. The main objective of this project is to combine the data measuring the performance of a patient when he is playing a specific game with the data collected at the same time from some biometric sensors so that it is possible to apply data analysis algorithms in order to discover new relationships between the data. It is also intended that, through adequate visualisation, knowledge can be created. Data collection was carried out in partnership with the Centro Neurosensorial de Braga. For data collection, initially, it was used an emotion recognition activity, a test that measures the processing speed (quick naming) and two tests to better characterise the child in terms of memory and attention capacity. Initially, a small analysis was made of the data that were extracted through the platform provided by the Centro Neurosensorial de Braga. After a mass data collection, its analysis was carried out. It was possible to verify, analytically, that as the memory deficit increases, among others, the number of fixations, the number of regressions, the time taken to perform the rapid naming test increases. Regarding the emotions expressed during the rapid naming test, it was possible to verify that respondents who expressed happiness during the test show a better memory capacity, while children who expressed emotions of surprise or sadness are subject to memory deficit. |
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| Autores principais: | Pinho, Rafaela Pinto de |
| Assunto: | Data analysis Data visualisation Knowledge exploration Health care Análise de dados Visualização de dados Exploração de conhecimento Cuidados de saúde |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | This document is a Master’s Dissertation, within the scope of data analysis for visualisation and exploration of knowledge in the health area. The thesis herein described is part of the second year of the Master’s in Informatics Engineering, and it was held at the University of Minho in Braga, Portugal. The main objective of this project is to combine the data measuring the performance of a patient when he is playing a specific game with the data collected at the same time from some biometric sensors so that it is possible to apply data analysis algorithms in order to discover new relationships between the data. It is also intended that, through adequate visualisation, knowledge can be created. Data collection was carried out in partnership with the Centro Neurosensorial de Braga. For data collection, initially, it was used an emotion recognition activity, a test that measures the processing speed (quick naming) and two tests to better characterise the child in terms of memory and attention capacity. Initially, a small analysis was made of the data that were extracted through the platform provided by the Centro Neurosensorial de Braga. After a mass data collection, its analysis was carried out. It was possible to verify, analytically, that as the memory deficit increases, among others, the number of fixations, the number of regressions, the time taken to perform the rapid naming test increases. Regarding the emotions expressed during the rapid naming test, it was possible to verify that respondents who expressed happiness during the test show a better memory capacity, while children who expressed emotions of surprise or sadness are subject to memory deficit. |
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