A perspective on human activity recognition from inertial motion data

W Gomaa, MA Khamis - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

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 **e - 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 …

WiFi-based human sensing with deep learning: Recent advances, challenges, and opportunities

I Ahmad, A Ullah, W Choi - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
The rapid advancements in wireless technologies have led to numerous research studies
that provide evidence of the successful utilization of wireless signals, particularly, WiFi …

Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors

E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …

Infrared small and dim target detection with transformer under complex backgrounds

F Liu, C Gao, F Chen, D Meng, W Zuo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The infrared small and dim (S&D) target detection is one of the key techniques in the infrared
search and tracking system. Since the local regions similar to infrared S&D targets spread …

Contrastive graph learning long and short-term interests for POI recommendation

J Fu, R Gao, Y Yu, J Wu, J Li, D Liu, Z Ye - Expert Systems with Applications, 2024 - Elsevier
Modeling users' short-term dynamic and long-term static interests to enhance Point-of-
Interests (POI) recommendation performance has shown lots of advantages. Since users' …

Vision transformers for human activity recognition using WiFi channel state information

F Luo, S Khan, B Jiang, K Wu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Wireless sensing and communication evolved separately in the past. However, integrated
sensing and communication (ISAC) unlocks a new era of mobile network capabilities, with …

Two-stream transformer network for sensor-based human activity recognition

S **ao, S Wang, Z Huang, Y Wang, H Jiang - Neurocomputing, 2022 - Elsevier
Abstract Human Activity Recognition (HAR) based on wearable devices has always been a
hot topic in health applications, human-object interaction, and smart homes. Despite …

Xrf55: A radio frequency dataset for human indoor action analysis

F Wang, Y Lv, M Zhu, H Ding, J Han - … of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
Radio frequency (RF) devices such as Wi-Fi transceivers, radio frequency identification tags,
and millimeter-wave radars have appeared in large numbers in daily lives. The presence …

AnoFed: Adaptive anomaly detection for digital health using transformer-based federated learning and support vector data description

A Raza, KP Tran, L Koehl, S Li - Engineering Applications of Artificial …, 2023 - Elsevier
In digital healthcare applications, anomaly detection is an important task to be taken into
account. For instance, in ECG (Electrocardiogram) analysis, the aim is often to detect …