[HTML][HTML] Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population

G Cicirelli, R Marani, A Petitti, A Milella, T D'orazio - Sensors, 2021 - mdpi.com
Over the last decade, there has been considerable and increasing interest in the
development of Active and Assisted Living (AAL) systems to support independent living. The …

Targeted supervised contrastive learning for long-tailed recognition

T Li, P Cao, Y Yuan, L Fan, Y Yang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Real-world data often exhibits long tail distributions with heavy class imbalance, where the
majority classes can dominate the training process and alter the decision boundaries of the …

Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions

BMV Guerra, E Torti, E Marenzi, M Schmid… - Frontiers in …, 2023 - frontiersin.org
Ambient Assisted Living is a concept that focuses on using technology to support and
enhance the quality of life and well-being of frail or elderly individuals in both indoor and …

Intelligent indoor metasurface robotics

H Zhao, S Hu, H Zhang, Z Wang, H Dong… - National Science …, 2023 - academic.oup.com
Intelligent indoor robotics is expected to rapidly gain importance in crucial areas of our
modern society such as at-home health care and factories. Yet, existing mobile robots are …

Unsupervised learning for human sensing using radio signals

T Li, L Fan, Y Yuan, D Katabi - Proceedings of the IEEE/CVF …, 2022 - openaccess.thecvf.com
There is a growing literature demonstrating the feasibility of using Radio Frequency (RF)
signals to enable key computer vision tasks in the presence of occlusions and poor lighting …

RadarFormer: End-to-end human perception with through-wall radar and transformers

Z Zheng, D Zhang, X Liang, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For fine-grained human perception tasks such as pose estimation and activity recognition,
radar-based sensors show advantages over optical cameras in low-visibility, privacy-aware …

[HTML][HTML] Markerless radio frequency indoor monitoring for telemedicine: Gait analysis, indoor positioning, fall detection, tremor analysis, vital signs and sleep …

L di Biase, PM Pecoraro, G Pecoraro, ML Caminiti… - Sensors, 2022 - mdpi.com
Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in
clinical practice. Indoor environments are more challenging than outdoor environments, and …

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 …

Radar-based 3D human skeleton estimation by kinematic constrained learning

W Ding, Z Cao, J Zhang, R Chen, X Guo… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This paper focuses on the incorporation of kinematic constraints with the learning of 3D
skeleton reconstruction without suffering from corrupted pose estimations. Specifically, we …

Multimodal daily-life logging in free-living environment using non-visual egocentric sensors on a smartphone

K Sun, C **a, X Zhang, H Chen, CJ Zhang - Proceedings of the ACM on …, 2024 - dl.acm.org
Egocentric non-intrusive sensing of human activities of daily living (ADL) in free-living
environments represents a holy grail in ubiquitous computing. Existing approaches, such as …