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[HTML][HTML] Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population
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 …
development of Active and Assisted Living (AAL) systems to support independent living. The …
Targeted supervised contrastive learning for long-tailed recognition
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 …
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
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 …
enhance the quality of life and well-being of frail or elderly individuals in both indoor and …
Intelligent indoor metasurface robotics
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 …
modern society such as at-home health care and factories. Yet, existing mobile robots are …
Unsupervised learning for human sensing using radio signals
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 …
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
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 …
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 …
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 …
clinical practice. Indoor environments are more challenging than outdoor environments, and …
WiFi-based human sensing with deep learning: Recent advances, challenges, and opportunities
The rapid advancements in wireless technologies have led to numerous research studies
that provide evidence of the successful utilization of wireless signals, particularly, WiFi …
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 …
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
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 …
environments represents a holy grail in ubiquitous computing. Existing approaches, such as …