Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition. (arXiv:2208.07547v1 [cs.CV])

Human activity recognition (HAR) with wearables is promising research that
can be widely adopted in many smart healthcare applications. In recent years,
the deep learning-based HAR models have achieved impressive recognition
performance. However, most HAR algorithms are susceptible to the multi-class
windows problem that is essential yet rarely exploited. In this paper, we
propose to relieve this challenging problem by introducing the segmentation
technology into HAR, yielding joint activity segmentation and recognition.
Especially, we introduce the Multi-Stage Temporal Convolutional Network …

arxiv cv network segmentation wearables