Tingwei Liang

ORCID: 0009-0007-3919-776X
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About
Contact & Profiles
Research Areas
  • Sentiment Analysis and Opinion Mining
  • Digital Media and Visual Art
  • Anomaly Detection Techniques and Applications
  • Visual Culture and Art Theory
  • Cognitive Computing and Networks
  • Time Series Analysis and Forecasting
  • Virtual Reality Applications and Impacts
  • Music and Audio Processing
  • Advanced Chemical Sensor Technologies

Harbin Institute of Technology
2023-2024

Huazhong Agricultural University
2023

Parkinson’s disease is a neurodegenerative that seriously affects the quality of life patients. In this study, we propose new diagnosis method using deep learning techniques. The takes multi-channel sensor signals as inputs, and full convolutional LSTM blocks model perceive same time-series inputs from two different views, connect extracted spatial features with temporal features. order to improve detection performance, channel attention mechanism was incorporated into model, data...

10.3390/electronics13234638 article EN Electronics 2024-11-25

In 2021, the “Metaverse” concept became a big hit. As an exceptional media concept, metaverse is closely related to human sensory system, especially visual communication. Through method of literature research and case analysis, combined with recent publicity craze “Liu Yexi” from perspective combination short video, this paper argues that richness abstraction require video as new form On basis, practical experience communication analyzed narrative logic, innovation leap, spectacle. Then it...

10.1051/shsconf/202316702013 article EN cc-by SHS Web of Conferences 2023-01-01

In this paper, a wrist bracelet was used to measure the subjects' heart rate signals and skin electrical signals, three types of emotions (positive, neutral negative) were induced by designing an experimental environment. The corresponding collected through bracelet, recognition accuracy finally obtained data preprocessing support vector machine model in learning. At present, how build environment that can fully induce is major difficulty emotion recognition, so paper provides specific...

10.1145/3639479.3639512 article EN 2023-12-27
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