Human action recognition from various data modalities: A review

Z Sun, Q Ke, H Rahmani, M Bennamoun… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

G Muhammad, F Alshehri, F Karray, A El Saddik… - Information …, 2021 - Elsevier
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

Task-oriented multi-user semantic communications

H Xie, Z Qin, X Tao, KB Letaief - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
While semantic communications have shown the potential in the case of single-modal single-
users, its applications to the multi-user scenario remain limited. In this paper, we investigate …

Metafi++: Wifi-enabled transformer-based human pose estimation for metaverse avatar simulation

Y Zhou, H Huang, S Yuan, H Zou… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the metaverse, digital avatar plays an important role in representing human beings for
various interaction with virtual objects and environments, which puts a high demand on …

EfficientFi: Toward large-scale lightweight WiFi sensing via CSI compression

J Yang, X Chen, H Zou, D Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
WiFi technology has been applied to various places due to the increasing requirement of
high-speed Internet access. Recently, besides network services, WiFi sensing is appealing …

[HTML][HTML] Deep learning and transfer learning for device-free human activity recognition: A survey

J Yang, Y Xu, H Cao, H Zou, L Xie - Journal of Automation and Intelligence, 2022 - Elsevier
Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …

Conditional synthetic data generation for robust machine learning applications with limited pandemic data

HP Das, R Tran, J Singh, X Yue, G Tison… - Proceedings of the …, 2022 - ojs.aaai.org
Background: At the onset of a pandemic, such as COVID-19, data with proper
labeling/attributes corresponding to the new disease might be unavailable or sparse …

Deep learning for radio-based human sensing: Recent advances and future directions

I Nirmal, A Khamis, M Hassan, W Hu… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
While decade-long research has clearly demonstrated the vast potential of radio frequency
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …

CSITime: Privacy-preserving human activity recognition using WiFi channel state information

SK Yadav, S Sai, A Gundewar, H Rathore, K Tiwari… - Neural Networks, 2022 - Elsevier
Human activity recognition (HAR) is an important task in many applications such as smart
homes, sports analysis, healthcare services, etc. Popular modalities for human activity …

Learning gestures from WiFi: A siamese recurrent convolutional architecture

J Yang, H Zou, Y Zhou, L Xie - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
We propose a gesture recognition system that leverages existing WiFi infrastructures and
learns gestures from channel state information (CSI) measurements. Having developed an …