A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities

K Chen, D Zhang, L Yao, B Guo, Z Yu… - ACM Computing Surveys …, 2021 - dl.acm.org
The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis

AN Sayed, Y Himeur, F Bensaali - Engineering applications of artificial …, 2022 - Elsevier
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …

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 …

[HTML][HTML] SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing

J Yang, X Chen, H Zou, CX Lu, D Wang, S Sun, L Xie - Patterns, 2023 - cell.com
Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …

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 …

Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes

J Yang, H Zou, H Jiang, L Xie - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Intelligent occupancy sensing is becoming a vital underpinning for various emerging
applications in smart homes, such as security surveillance and human behavior analysis …

Multimodal CSI-based human activity recognition using GANs

D Wang, J Yang, W Cui, L Xie… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Channel state information (CSI)-based human activity recognition (HAR) has received great
attention in recent years due to its advantages in privacy protection, insensitivity to …