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The detection of people's presence and activities are essential to multiple digital applications nowadays. This information, combined with artificial intelligence techniques, allows the creation of an intelligent digital environment that can offer new solutions to the several economic sectors (i.e. care economy, transportation, retail or tourism). For example, the information on human presence and activity allows knowing the status of dependent and older people at home regarding falls, fainting, or mobility capacity. It also provides information on the time people spend visiting certain tourist areas, exhibitions, shopping centers, or checking the evacuation of buildings in case of need. There are currently multiple techniques like video surveillance, infrared motion detectors, or wearables in this context. Artificial vision and wearables are presently the most technologically mature solutions of the methods mentioned. However, there are significant drawbacks to their implementation in the digital transformation of the aforementioned areas. In the case of artificial vision techniques, people's digital rights condition their performance since continuous recording directly invades people's privacy, especially if we are thinking of implementation for the care of people. The second option based on wearables implies the people active participation that must carry a device that could be detected.
This project proposes a solution that would not violate digital rights and would eliminate the need for active participation of the people being monitored. For this purpose, an intelligent human presence monitoring and detection system based on wireless RF signals will be considered, taking into account that the presence of people produces alterations in the propagation of the wireless signals. These alterations can be measured and analyzed with artificial intelligence algorithms to extract information about the number of people present and their movement in the coverage area of the wireless communication system. Monitoring and studying the variation of the wireless channels respect the anonymity of the people monitored without violating their privacy. Likewise, this technology does not require the active participation of the people in the coverage area of the wireless system, avoiding the disadvantages of other existing techniques.