Abstract: There is provided a tag device including a first sensor, a second sensor, a pre-processor and a neural network processor. The pre-processor generates first position data of the tag device based on time information sensed by at least one of a third sensor included in each of the one or more anchor devices and the first sensor of the tag device, generates second position data based on first speed data of the tag device sensed by the second sensor and the first position data, and generates an image based on a path of movement of the tag device based on the second position data in an operation period, and the neural network processor classifies the image into one of a plurality of movements by using a trained neural network model.

Abstract: An UWB-based indoor positioning system using out-of-band management includes a plurality of nodes that individually broadcast an UWB broadcast message through an ultra-wide band (UWB) channel; and a remote positioning server for receiving a response message to the UWB broadcast message through an out-of-band network, calculating a time of flight (ToF) between the nodes based on the identification information and timestamp information of each of the nodes included in the response message and producing a positioning information of each of the nodes by calculating a distance between the nodes using the calculated ToF. The UWB-based indoor positioning system and method using out-of-band management can significantly improve node scalability and flexibility in the UWB positioning system through the unification of processes between anchor/tag nodes and simplification of the initial registration procedure.