Generalized Few-Shot Learning For Wearable Sensor-based Human Activity Recognition

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)(2022)

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摘要
Few-Shot Learning (FSL) aims to create a classifier which generalizes to classes not present in the training set given just a few samples from each new class. Generalized FSL recognizes samples from classes that are both present and not present in the training set. We developed the first generalized FSL system for Human Activity Recognition (HAR) based on data from wearable sensors. This enabled t...
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