Indoor Localization Using Fiber Bragg Grating-Based Accelerometers for Smart Healthcare

In this paper, it is proposed an indoor localization system, relying on multiplexed fiber Bragg grating (FBG)-based accelerometers, targeting the activity levels monitoring of elders living alone. From the proposed consumer sensing system, floor vibration patterns generated by walking with high precision and reliability, were obtained. An indoor localization algorithm is also newly proposed, specifically customized to the localization system formed by the mesh of FBG-based accelerometers. Experimental setup is conducted, and an average root mean square (RMS) error of 0.285 m and a variance of 0.019 m were obtained, revealing that the proposed localization methodology delivers a reliable localization estimative, considering that typical foot size is about 0.200 m or greater. Compared with the conventional indoor localization technologies, this presents high accuracy, high reliability, and high privacy. Therefore, the proposed FBG-based localization system is a non-invasive consumer Internet-of-Things (CIoT)-based solution for smart healthcare, which provides low-complexity and high-privacy data for indoor localization.