On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge

Understand

Human activity recognition (HAR) has been a classic research problem.

• In particular, with recent machine learning (ML) techniques, the recognition task has been largely investigated by companies and integrated into their products for customers.
• However, most of them apply a predefined activity set and conduct the learning process on the cloud, hindering specific personalizations from end users (i.e., edge devices).
• Even though recent progress in Incremental Learning allows learning new-class data on the fly, the learning process is generally conducted on the cloud, requiring constant data exchange between cloud and edge devices, thus leading to data privacy issues.