Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis

19 Apr 2021 Saurav Jha Martin Schiemer Franco Zambonelli Juan Ye

Sensor-based human activity recognition (HAR), i.e., the ability to discover human daily activity patterns from wearable or embedded sensors, is a key enabler for many real-world applications in smart homes, personal healthcare, and urban planning. However, with an increasing number of applications being deployed, an important question arises: how can a HAR system autonomously learn new activities over a long period of time without being re-engineered from scratch?.. (read more)

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