Recent progress of optical imaging approaches for noncontact physiological signal measurement: A review

X Zhang, M Hu, Y Zhang, G Zhai… - Advanced Intelligent …, 2023 - Wiley Online Library
In recent years, optical imaging techniques have gained wide recognition for the
measurement of vital signals, such as heart rate, respiratory rate, oxygen saturation, and …

The impact of interface design element features on task performance in older adults: evidence from eye-tracking and EEG signals

C Zhou, F Yuan, T Huang, Y Zhang… - International journal of …, 2022 - mdpi.com
It is crucial that the interface design of mobile apps be age-appropriate at this stage of global
aging, as the new epidemic has resulted in a higher sense of isolation among older persons …

[Retracted] A New Generation of ResNet Model Based on Artificial Intelligence and Few Data Driven and Its Construction in Image Recognition Model

H Wang, K Li, C Xu - Computational Intelligence and …, 2022 - Wiley Online Library
The paper proposes an A‐ResNet model to improve ResNet. The residual attention module
with shortcut connection is introduced to enhance the focus on the target object; the dropout …

Tanet: Target attention network for video bit-depth enhancement

J Liu, Z Yang, Y Su, X Yang - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
Video bit-depth enhancement (VBDE) reconstructs high-bit-depth (HBD) frames from a low-
bit-depth (LBD) video sequence. As neighboring frames contain a considerable amount of …

Active vision for deep visual learning: A unified pooling framework

N Guo, K Gu, J Qiao, H Liu - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) can be generally regarded as learning-based visual
systems for computer vision tasks. By imitating the operating mechanism of the human visual …

Experimental study on legibility of typographic information of ventilator interface

J Shao, K Yan, K Liu, C Xue, X Li - International Journal of Industrial …, 2022 - Elsevier
This study aims to reduce errors made by medical personnel that are caused by poorly read
information on ventilator interfaces by determining the factors that enhance the legibility of …

The effects of layout types, visual features and text labels on icon visual search performance

L Deng, R Liu - Ergonomics, 2024 - Taylor & Francis
In operational tasks involving cognitive processes and visual guided pointing activities, this
paper investigated the effects of icon layout types, visual features and text labels on the …

Gesture estimation for 3D martial arts based on neural network

M Liu, J Zhang - Displays, 2022 - Elsevier
A 3D martial arts gestures estimation method is proposed, for it is difficult to accurately
describe the gestures, which is caused by the high degree of freedom and high similarity of …

Subjective and objective quality assessment of swimming pool images

F Lei, S Li, S Xie, J Liu - Frontiers in Neuroscience, 2022 - frontiersin.org
As the research basis of image processing and computer vision research, image quality
evaluation (IQA) has been widely used in different visual task fields. As far as we know …

[Retracted] Study of Trunk Morphological Imbalance and Rehabilitation Outcome of Adolescent Idiopathic Scoliosis with Intelligent Medicine

Q Zhao, Y Huang, M Wu, L Shen, Y Lu… - Computational …, 2022 - Wiley Online Library
In recent years, artificial intelligence technology has been widely used in various medical
fields to effectively assist physicians in patient treatment operations. In this paper, we design …