Converting a physiological signal to an electrical signal makes it possible to extract the signal. 

Maximum information is obtained using an adequate processing, as well as a correct visualization of the results. The aim of this work is to design and implement an efficient solution for remote analysis, in real time, of the human alert state. Lithium-ion and NiMH (nickel-metal hydride) batteries can also be considered for powering the system. Electronic devices and components with low power consumption can be used. The implementation of an optimal operation algorithm is also considered. An emphasis is placed on gazing, which is an essential human behaviour. Gazing behaviour can be linked to alertness, or lack thereof. Attention has to be given to individual differences in behaviours such as eye movements.