The research and development of Internet of Things (IoT) paradigm, encompassing different related concepts and technologies, such as Cyber Physical Systems and Wireless Sensor Networks, is currently facing the challenges related to a lack of possibilities to de-verticalize the market of devices. These challenges were caused by incoherent development of the different standards, models and languages for the devices operations, hence dramatically reducing their capability to interoperate. It is our belief that these challenges can be overcome by the design in which the devices networks are functioning by following the principles of human communication. In this paper, we propose a framework to support Knowledge Management of a human-centric IoT, while considering the different enabling factors in anthropomorphic approach, such as awareness, perceptivity and physiological enrolment. This framework takes into account a new type of data, a sensorial physiological data that is assumed to enrich the expressivity of devices and thus, enable more accurate and complete perception of the signals, transmitted by the devices.