A5100686909- Hand Gesture Recognition Systems
- Indoor and Outdoor Localization Technologies
- Gait Recognition and Analysis
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Infant Health and Development
- Wireless Signal Modulation Classification
- Speech and Audio Processing
- Image and Video Stabilization
- Advanced SAR Imaging Techniques
- Biometric Identification and Security
- CCD and CMOS Imaging Sensors
- Greenhouse Technology and Climate Control
- Random lasers and scattering media
Xidian University
2023
China Mobile (China)
2022
Jiangsu University
2022
Beijing University of Posts and Telecommunications
2021
University of Science and Technology Beijing
2016
Millimeter wave (mmWave) sensing promises to enable contactless and high-precision "in-air" gesture-based human–computer interaction (HCI). While previous works have demonstrated its feasibility, they require tedious gesture collecting for person-independent recognition operate in an off-line mode without considering practical issues, such as segmenting latency. In this work, we propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Emotion recognition, particularly contactless recognition via wireless sensing, has shown its promise in diverse applications. However, the previous works only focus on emotions rather than person, i.e., premise is already knowing who subject is, without considering issue of identifying subjects. We envision that user identification and emotion together will bring more adaptive personalized Internet Things applications, e.g., a smart home system can react to specific user, independently. In...
The detection performance of infrared imaging systems during high-speed flight is significantly impacted by aero-optical and aero-thermal radiation effects. However, traditional numerical calculations struggle to balance accuracy efficiency, there a lack comprehensive model for in an aerodynamic thermal environment. In this study, we propose calculation method based on Cellular Automata (CA) ray tracing, which allows parallel effects combining optical field transport rules with the cellular...
This paper proposes a recognition approach for Semaphore flag signaling (SFS). We use the improved convolutional neural network (CNN) to classify SFS. In experiment we made system (SFSS), which based on CNN. The image can be directly input into SFSS. Each alphabetic character or control signal is indicated by particular pattern. shoot SFS videos monocular camera. dataset divided five classes. CNN uses Relu activation function, max-pooling methods. It's alway data whitening and grayscale...
Millimeter wave (mmWave) based gesture recognition technology provides a good human computer interaction (HCI) experience. Prior works focus on the close-range recognition, but fall short in range extension, i.e., they are unable to recognize gestures more than one meter away from considerable noise motions. In this paper, we design long-range model which utilizes novel data processing method and customized artificial Convolutional Neural Network (CNN). Firstly, break down into multiple...
It is hard for traditional IoT-based methods or RGB camera-based IoT to effectively monitor the health conditions of strawberries planted in greenhouses under complex lighting without manual intervention. In this paper, an infrared-thermal-imaging-based system proposed indirectly rather than directly photographing focus infection. This approach named as leaf soft-measurement method. A growth model established predict stage based on canopy temperature through relationship between plant...