Implementación de un sistema no invasivo para la identificación del nivel de atención en personas

• Autores: Alfredo García Suárez
• Directores de la Tesis: Juan Manuel González - Calleros (dir. tes.) , Amparo Dora Palomino Merina (dir. tes.)
• Lectura: En la Benemérita Universidad Autónoma de Puebla (BUAP) ( México ) en 2021
• Idioma: español
• Enlaces
  • Tesis en acceso abierto en: hdl.handle.net
• Resumen
  • español

    "El nivel de atención en las personas está asociado con la eficiencia en sus actividades intelectuales, en su nivel de comprensión y en el desarrollo de su habilidad creativa como se indica en Aballay et al. (2015), Aymerich-franch (2012) y Hernández (2015).

    Es fundamental conocer el comportamiento de las variables fisiológicas involucradas en este proceso, ya que a partir de las mismas se pueden determinar con mayor precisión los estados de atención de una persona. Usando esta información, una persona puede tener retroalimentación sobre su actividad cognitiva y así elevar la atención sobre la actividad realizada y en consecuencia mejorar su rendimiento cognitivo. Actualmente existen dispositivos, de índole comercial y de investigación, que miden el estado de atención del ser humano."

  • English

    The level of attention in people is associated with the efficiency in their intelectual activities, in their level of understanding and in the development of their creative ability, some examples in Aballay et al. (2015), Aymerich-franch (2012) and Hernández (2015).

    It is essential to know the behavior of the physiological variables involved in this process, with these variables the states of attention of a person can be determined with greater precision. Using this information, a person can have feedback on their cognitive activity and thus raise attention on the activity performed and consequently improve their cognitive performance. Currently there are devices, of a commercial and research nature, that measure the state of attention of the human.

    In the comercial sector, there is no free use by the user because they are restricted by the software and hardware of the manufacturer. In the literature, it has been identified that the complex thing is to reproduce the experiments due to the lack of availability of the hardware devices that are used (Torres et al., 2016; Rojas et al., 2012; Perakakis & Potamianos, 2013; Pinto & Ferreira, 2015). A common problema is the complexity of recovering the data by means of sensors since they are usually invasive and difficult to calibrate, they are usually mono-user. So the signals can contain noise and generate an error in the diagnosis.

    Another limitation is that there viewed works consider a physiological variable (mainly brain waves) like in Desney y Nijholt (2010), for the measurement of attention states, which causes the system to be vulnerable; the lack of versatility due to a delay in the synchronization of the devices can lead to unreliable information for the user. In this work we propose the implementation of a non invasive and multi-user system (Bandodkar & Wang, 2014; Eadi & Steele, 2017; Avila et al., 2015), for the identification of the level of attention in people, based on at least two physiological variables of the user to determine it, as well as obtaining a better performance in the reading of the physiological variables, in the delivery of the final diagnosis and in the control of the level of attention of the people to improve their cognitive performance.