Fig. 5: Multiple device synchronization using KiDs while operating via the User Interface with neural network.
From: Neural network-based Bluetooth synchronization of multiple wearable devices
a A schematic of four KiDs vertically stacked to illustrate scalability, and b the results show the four KiDs synchronization, where the artifact or task extraction reveals the level of synchronization from the KiDs using the trained neural network. MARK 401, MARK 402, MARK 403, MARK 404, and MARK 11 are the online synchronized labels that were sent via UI to identify corresponding tasks demonstrating the synchronization of multiple devices in a motion-tracking study. These commands were sent to the synchronized network connected with four KiDs. c For illustrative purposes in the spatial and temporal, we have stacked the four devices, where the fourth device was kept in the opposite direction. d The multiple limb motion capture can be used for capturing motions, particularly in real-world settings. KiD, in this method, provides synchronized motion profiles with the online task or event extraction, where in this case, they acquired a motion profile for 20 s throughout the entire duration.
