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Health Smart Homes are nowadays a very explored research area due to the needs for automation and telemedicine to support people in loss of autonomy and also due to the evolution of the technology that led in cheap and efficient sensors. However, collecting data in this area is still very challenging. As a consequence, many studies can not be validated on real data. In this paper, we present two realistic datasets acquired in a fully equipped Health Smart Home. The first is related to distressdoi:10.1007/s12193-012-0104-x fatcat:tkrhwpbjszbznmrnkgorx34m3q