The realization of activities in daily life can generate cognitive processes such as paying attention and having meditation to what is done, and with the use of these abilities, it is sought to obtain better results or to carry out the desired activity of the best possible way. Although people have the same capacities, there are activities where there may be differences between men and women or vice versa, for this reason, it is important to consider through gender, what are the attention level and the level of meditation presented during the performance of a specific activity. With this information, clustering of the elements is applied to visualize different levels and how it behaves in each gender, as well as in general.

The technology just like exact sciences and computation take an important role in our daily life; the union of these generate applications with great utility and provide efficient communication alternatives; thinking in this objective the ConsultApp is developed with the purpose to give a communication alternative to verbally disabled people, with the benefit of expressing and transmitting their discomforts as well as medical conditions, through the use of an EEG (Electroencephalogram).

Brain-Computer Interface (BCI for its acronym in English) is a device that allow the communication between a user and adapted environment. The Ambient Assisted Living (AAL for its acronym in English) can be potentially used to assist people with some motor disability. In this article, we show the low-cost system development that permit an actuator control through commercial EEG signal acquisition, detecting a flickering. The system is also tested to evaluate its feasibility with an offline analysis in Matlab. The experiments and results are shown.

Resumen.La tecnología, al igual que las ciencias exactas y la computación juegan un papel muy importante en la vida diaria, así mismo, son de gran ayuda para la resolución de problemas de diferente índole, tales como problemas médicos, tecnológicos, la industria armamentista, escolares, entre otros.En este ocasión, se muestra un enfoque orientado a mejorar la comunicación no verbal de las personas y, a su vez, brindar una alternativa de mejora en la calidad de vida de pacientes con problemas de comunicación verbal.La unión de éstas desencadena en aplicaciones de gran utilidad y brinda alternativas eficaces de comunicación.Por tal motivo, en este trabajo se presenta el desarrollo del proyecto denominado Speechless Talk cuyo principal objetivo consiste en interpretar de manera dicotómica palabras tales como "SI" o "NO" a través de señales neuronales biológicas obtenidas con el uso de EEG (Electroencefalogramas), que posteriormente son clasificadas utilizando Redes Neuronales Artificiales.