Li Liu
Chongqing University
AlgorithmMachine learningDistributed computingActivity recognitionData miningWorld Wide WebBenchmark (computing)Artificial intelligenceGesture recognitionUbiquitous computingPattern recognitionGestureWireless sensor networkComputer scienceElectroencephalographyGrid computingCluster analysisAccelerometer
156Publications
19H-index
1,952Citations
Publications 134
Newest
#1Xin LiH-Index: 1
#2Jun Liao (Chongqing University)H-Index: 2
Last. Li Liu (Chongqing University)H-Index: 19
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#2Jun Liao (Chongqing University)H-Index: 2
#4Li Liu (Chongqing University)H-Index: 19
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#1Jun Liao (Chongqing University)H-Index: 2
#2Dandan Liu (Chongqing University)
Last. Li Liu (Chongqing University)H-Index: 19
view all 4 authors...
The usage of multivariate time series to identify diseases plays an important role in the medical field, as it can help medical staff to improve diagnose accuracy and reduce medical costs. Current research shows that deep Convolutional Neural Networks (CNN) can automatically capture features from raw data and Long Short-Term Memory (LSTM) networks can manage and learn temporal dependence between time series data such as physiological signals. In this work, we propose a deep learning framework ca...
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#1Bingcheng Hu (ZJU: Zhejiang University)H-Index: 2
#2Tian DingH-Index: 1
Last. Xu Wen (ZJU: Zhejiang University)H-Index: 1
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This article reports a flexible and attachable inertial measurement unit (IMU)-based motion capture system for the accurate measurement of hand kinematics. Twelve 6-axis IMUs are used in the system...
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#1Aiguo Wang (FOSU: Foshan University)H-Index: 13
#2Shenghui ZhaoH-Index: 6
Last. Guilin ChenH-Index: 14
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Pervasive computing greatly advances the automatic recognition and understanding of human activities and effectively bridges the gap between the low-level sensor signals and high-level human-centric applications. The inherent complexity of human behavior, however, inevitably poses a huge challenge to the design of a robust activity recognizer, especially in classifying similar activities. In this study, we present a hierarchical framework, named HierHAR, that infers on-going activities in a mult...
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#1Yande Li (Lanzhou University)H-Index: 4
#2Kun Guo (Lanzhou University)H-Index: 1
Last. Li Liu (Chongqing University)H-Index: 19
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The global epidemic of COVID-19 makes people realize that wearing a mask is one of the most effective ways to protect ourselves from virus infections, which poses serious challenges for the existing face recognition system To tackle the difficulties, a new method for masked face recognition is proposed by integrating a cropping-based approach with the Convolutional Block Attention Module (CBAM) The optimal cropping is explored for each case, while the CBAM module is adopted to focus on the regio...
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#1Fashen Li (Lanzhou University)H-Index: 1
#2Lian Li (Hefei University of Technology)H-Index: 4
Last. Kun Kuang (ZJU: Zhejiang University)H-Index: 12
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Intelligent machines are knowledge systems with unique knowledge structure and function. In this paper, we discuss issues including the characteristics and forms of machine knowledge, the relationship between knowledge and human cognition, and the approach to acquire machine knowledge. These issues are of great significance to the development of artificial intelligence.
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Dual-slider positioning in a miniaturized system is crucial in many industrial applications. This paper presents a miniaturized dual-slider linear actuator by employing one piezoelectric element (PZT) and integrating the methods of electrostatic adhesion and inertia drive. Two inertia drive methods can be converted by clamping and releasing one of the sliders on a base. Two thin-film electrodes are mounted on the base for clamping and releasing the slider by electrostatic adhesion. The actuator ...
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Oct 11, 2020 in SMC (Systems, Man and Cybernetics)
#1Yuhao Zhang (Chongqing University)
#2Jun Liao (Chongqing University)H-Index: 2
Last. Li Liu (Chongqing University)H-Index: 19
view all 6 authors...
Military sign language is an important form of tactical communication, especially in restrict situations where either distance or a requirement for silence precludes oral means. Unfortunately, when soldiers cannot see each other, the communication mode of tactical gestures is no longer effective, which may hinder military operations. Vision-based approaches have been at the forefront in the field of hand gesture recognition. However, there still lacks of specific datasets and models for the task...
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Oct 11, 2020 in SMC (Systems, Man and Cybernetics)
#1Xi Hu (Chongqing University)
#2Liming Tan (Chongqing University)
Last. Li Liu (Chongqing University)H-Index: 19
view all 7 authors...
Gesture recognition is ongoing attention in the field of human computer interaction (HCI). With development of deep neural network technology in computer vision, more complex sign languages are possible to recognize but, the research on Chinese language (CSL) recognition remain in discussion. Here we have performed our collected dataset and proposes a new solution to recognize CSL, and further insight on preliminary verification on CSL recognition using 2D image.This paper attempts to reduce the...
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