Location of three-dimensional movement for a human using a wearable multi-node instrument implemented by wireless body area networks

Abstract

A wireless human body local area network is a wireless network composed of lightweight, wearable or implantable sensor nodes that sense various physiological parameters of the human body. This paper introduces the key technologies and characteristics of wireless sensor networks and the research status of node localization, analyzes the wireless sensor network localization algorithms and their performance evaluation indicators, and conducts in-depth research on wearable 3D node localization algorithms. The 3D positioning algorithm uses static beacon nodes to achieve the 3D positioning of public nodes. The positioning accuracy and positioning rate depend on the number of beacon nodes, and the number of beacon nodes increases, which increases network costs and energy consumption. Aiming at the spatiotemporal correlation between motion data collected by multiple sensors in a wireless human local area network, an RSSI-based multi-node 3D motion monitoring auxiliary algorithm is used, including the planning of wearable device motion trajectories. Throughout the positioning process, the workflow belongs to the public node and involves the format of the relevant information packet. The 3D wearable multi-node positioning algorithm based on RSSI is a distance-dependent distributed positioning algorithm. The public node uses the RSSI ranging method to obtain the distance during the two-stage positioning process, and then uses the three-dimensional multilateral positioning method to perform its own calculation.