Affiliations: [a] Facultad de Ciencias de la Computación, BUAP, Puebla, México | [b] Facultad de Ciencias de laElectrónica, BUAP, Puebla, México
Correspondence:
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Corresponding author. Alfredo García, Facultad de Ciencias de la Computación, BUAP, Puebla, México. E-mail: [email protected].
Note: [1] Project supported by CONACYT.
Abstract: In the current world, the need to know instantaneous information that helps people to know their current physical and intellectual conditions has become paramount, each time new systems that provide information to the user in real time are incorporated in portable devices. This information indicates different health parameters of the user, it can be obtained through their physiological variables such as: number of steps, heart rate, oxygenation level in the blood and other ones. One of the most requested intellectual conditions to be known by the user is: the level of attention reached when the user executes a task. This work describes a methodology and the experimentation to know the level of attention of people through a test to identify colors also are shown the development and the application of a system (hardware and software) to measure the level of attention of people using two input signals: corporal posture and brain waves. The mathematical analysis to find the correlation between the corporal posture and the level of attention is shown in this paper. The results obtained indicate that the corporal posture influences on the level of attention of people directly.
