Remote activity monitoring using indirect sensing approach in assisted living scenario

Abstract This paper introduces remote activity monitoring scenario, which is deployed using indirect sensing of person’s assisted living environment, i.e., providing monitoring without wearables. Wireless sensors are monitoring, e.g., temperature, CO2, motion and electricity consumption. Based on the indirect sensing information, it can be noticed, e.g., that the monitored person has awakened in the morning since monitored devices has been used or some abnormal behavior is taking place in the assisted living environment. Sensor data is analyzed by dedicated algorithms to obtain information about user’s behavior. Information collected by body sensors can be used to complement the information collected by the indirect sensing method. Remote sensing approaches are introduced in this paper at a general level and indirect sensing use case implementation in state-of-the-art 5G Test Network in Oulu, Finland, is discussed in more details. Challenges and findings of this implementation work are discussed, and future improvement directions are proposed

Vertical use cases in the Finnish 5G test network

Abstract The Finnish 5G test network (5GTN) supports development of new network technologies, and services and applications on top of these. It is developed and operated in collaboration with partners from different domains such as research, telecommunications, internet of things, software services, and data analytics. 5GTN is designed to support building products and services on top of latest and upcoming network technologies. A current example of this is exploring opportunities for new services, and impacts from 5G technologies, such as higher datarates, lower delays, and dense deployments. In this paper, we describe a set of use cases from different domain verticals, built on top of 5GTN, and the experiences so far from those use cases