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Sensor Based Pattern Recognition and Signal Processing
This special issue belongs to the section “Sensing and Imaging“.
Special Issue Information
Dear Colleagues,
With demographic shift associated with the aging population, there are growing demand on pervasive health monitoring and management for both cognitive and physical declines. Applying various wearable, implantable, or peripheric sensors, intelligent perception systems can provide a 24/7 monitoring of users at any environment, recognize intents, emotions and behaviors of the users, and predict potential risks for diseases at the early stage. Besides, dedicated AI technologies designed for intelligent perception systems can promote the performance of healthcare applications. This special issue aims to highlight new achievements in intelligent perception areas including but not limited to the following topics such as signal denoising, multi-modal data fusion, pattern recognition, AI algorithms etc.
Prof. Dr. Xun Chen
Dr. Juan Cheng
Dr. Rencheng Song
Dr. Xinrui Cui
Dr. Yao Guo
Guest Editors
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Keywords
- Bioelectrical signal (EEG, EMG, ECG) processing
- Video-based measurement
- Biomedical image fusion
- Advanced sensing technologies for physical parameters, emotion, metal status detection
- Human behavior analysis from cameras, bioelectrical signals or other relevant sensor data
- Pattern recognition algorithms for prediction and decision making in healthcare
- Secure and data privacy of sensing data
- AI algorithms in healthcare applications
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