Behavior monitoring with non-wearable sensors for precision nursing

Abstract

Non-wearable sensors utilizing advanced image-processing and sensing technologies for capturing an individual’s behavior in real-world settings are now available. Wearable sensors are difficult to use, especially for long-term recordings, because the batteries for these sensors must be exchanged or recharged. Behavioral data collected using non-wearable sensors can be used for precision nursing, which indicates individualized risk management and intervention plan based on the understanding of individual risk and other health status. In this study, we applied the developed non-wearable technologies to evaluate a person’s gait ability, which is an important factor for creating a fall prevention program.