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Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks
[article]
2022
arXiv
pre-print
Continual learning, also known as lifelong learning, is an emerging research topic that has been attracting increasing interest in the field of machine learning. With human activity recognition (HAR) playing a key role in enabling numerous real-world applications, an essential step towards the long-term deployment of such recognition systems is to extend the activity model to dynamically adapt to changes in people's everyday behavior. Current research in continual learning applied to HAR domain
arXiv:2203.05692v1
fatcat:xgtaxzixsrdhhd7xcs7h4y7o7u