Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data

arXiv:2402.09434v1 Announce Type: cross
Abstract: The popularity and diffusion of wearable devices provides new opportunities for sensor-based human activity recognition that leverages deep learning-based algorithms. Although impressive advances have been made, two major challenges remain. First, sensor data is often incomplete or noisy due to sensor placement and other issues as well as data transmission failure, calling for imputation of missing values, which also introduces noise. Second, human activity has multi-scale characteristics. Thus, different groups of people and even the …

abstract advances algorithms arxiv challenges cs.lg data deep learning devices diffusion eess.sp human major network opportunities recognition sensor type wavelet wearable wearable devices