Abstract:In recent years, Deep Neural Networks (DNNs) have been widely
used for Human Gesture Recognition (HGR) based on the information
obtained from inertial sensors, such as accelerometers and gyroscopes,
available on smart Internet of Things (IoT) devices. Most of the recent
works on HGR using motion data rely on gathering a dataset, that faces
two major challenges:a) the datasets are originally
stored on the smart devices at the end-users, and gathering them in one
place is not feasible due to communication limita… Show more
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