معرفی
Xueyi Wang, PhD, serves as a Researcher at the Department of Discrete Technology and Production Automation within the Faculty of Science and Engineering at the University of Groningen, Netherlands. Contact details: +31 50 363 4484, Xueyi.Wang@rug.nl, Nijenborgh 4, 9747 AG Groningen.
Dr. Wang specializes in computer vision and machine learning with emphasis on healthcare applications. Core research domains include:
- Egocentric Vision Systems for real-time monitoring
- Fall detection algorithms using wearable cameras
- Deep learning architectures (CNNs, LSTMs) for sensor data
- Stress forecasting from sparse wearable datasets
- Energy-efficient event-based vision processing
Research outputs demonstrate consistent focus on translating computer vision into practical healthcare solutions, particularly for elderly care. The work directly contributes to UN Sustainable Development Goal 3 (Good Health and Well-being) through development of non-intrusive monitoring systems. Recent publications show progression from foundational egocentric vision techniques (2023) to multimodal audio-visual benchmarks (2025) and stress forecasting applications (2024).
Media coverage of the 2024 PhD thesis on fall detection appeared in Dutch outlets on March 7, 2024, highlighting practical implementations using body-worn cameras. Two significant datasets support this research: the 2020 egocentric visual data collection and the 2023 EGOFALLS audio-visual benchmark.
