The emergence of self-supervised learning in the field of wearables-based human activity
recognition (HAR) has opened up opportunities to tackle the most pressing challenges in the …

Smart Homes have come a long way: From research laboratories in the early days, through
(almost) neglect, to their recent revival in real-world environments enabled through the …

With the growing interest in smart home environments and in providing seamless
interactions with various smart devices, robust and reliable human activity recognition (HAR) …

The development of a machine-learning-based human activity recognition (HAR) system
using body-worn sensors is mainly composed of three phases: data collection, model …

Abstract The Internet of Things (IoT), cloud computing, and machine learning opened an
opportunity for new smart systems. These technologies have triggered huge traffic and delay …

Human activity recognition (HAR) using ambient sensors in smart homes has numerous
applications for human healthcare and wellness. However, building general-purpose HAR …

With the proliferation of miniaturized movement sensing capabilities, human activity
recognition using wearables and other forms of pervasive sensing (HAR) has seen an …

Developing human activity recognition (HAR) systems for smart homes is not straightforward
due to varied layouts of the homes and their personalized settings, as well as idiosyncratic …

Previous work has demonstrated that virtual accelerometry data, extracted from videos using
cross-modality transfer approaches like IMUTube, is beneficial for training complex and …

The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing
(UbiComp 2021) took place from September 21–26 virtually, around the world; co-located …