Remote Activity Monitoring Using Indirect Sensing Approach in Assisted Living Scenario
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.