Name: Wang Yan
Gender: Female
Professional Title: Professor
Degree: Ph.D.
Education:
1. September 2014–December 2018, Bournemouth University, United Kingdom
2. September 2000–April 2003, Dalian Maritime University
3. September 1996–July 2000, Zhengzhou University
Research Directions:
1. Wearable-sensor-based activity recognition
2. Rehabilitation robot control
3. Applications of neural networks in healthcare
Academic Research Projects:
1. Henan International Science and Technology Cooperation Project (Key Project), No. 251111520400: Research on Key Technologies for Intelligent Wearable Abnormal Gait Recognition for Lower-Limb Rehabilitation Assistance, Principal Investigator, January 2025–December 2027.
2. Industry Collaborative Project with Henan Xiangyu Medical Equipment Co., Ltd.: Whole-Body Multi-Joint Mobility Assessment and Training System, Principal Investigator, July 2025–March 2026.
3. Henan Provincial Key R&D Program: Research and Applications of Key Human–Robot Integration Technologies for Lower-Limb Rehabilitation Robots, ongoing, January 2024–December 2026, third contributor.
4. Henan Science and Technology Research Project: Research on Complex Wearable Human Activity Recognition Based on Multi-Head Attention and Graph Neural Networks, completed in 2024, Principal Investigator.
5. Henan Science and Technology Research Project: Research on Position-Adaptive Wrist-Worn Sensor-Based Daily Activity Recognition for Older Adults, completed in 2022, Principal Investigator.
6. Ministry of Science and Technology National Key R&D Program Project: Research on Supply, Marketing and Service Collaboration Technologies Based on the Entire Value Chain, 2020–2023, completed, third contributor.
7. University Discipline Backbone Teacher Support Program Project, April 2024–April 2026, ongoing, first contributor.
8. EU Talent Cooperation and Exchange Project, FUSION Program, 2013–2018, core member.
9. European Commission Horizon 2020 Marie Skłodowska-Curie Project CHARMED, 2017–2020, core member.
10. European Commission Horizon 2020 Marie Skłodowska-Curie Project SMOOTH, 2017–2020, participant.
Representative Papers:
1. A Wearable Electronic Smart Knee Brace with Flexible Strain Sensors for Accurate Knee Joint Angle Estimation. IEEE Transactions on Industrial Electronics, 2026.
2. Foot Pressure-based Abnormal Gait Recognition with Multi-scale Cross-Attention Fusion. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025.
3. DC-PFL: A dynamic clustering-based personalized federated learning method for human activity recognition. Engineering Science and Technology, an International Journal, 2025.
4. Enhancing Human Activity Recognition with TB-ConvAtt: A Multi-Dimensional Attention Framework. Biomedical Signal Processing and Control, 2025.
5. Enhancing Human Activity Recognition with FedPA: Tackling Non-IID Data Challenges in Federated Learning. IEEE Sensors Journal, 2024.
6. A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks. IEEE Transactions on Instrumentation and Measurement, 2023.
7. Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra. Axioms, 2023, 12(10): 954. (Highly cited and hot paper in 2024)
8. A Survey on Ambient Sensor-Based Abnormal Behaviour Detection for Elderly People in Healthcare. Electronics, 2023, 12(7): 1539.
9. A survey on wearable sensor modality centred human activity recognition in health care. Expert Systems with Applications, 2019. (Highly cited paper)
10. A Data Fusion-Based Hybrid Sensory System for Older People's Daily Activity and Daily Routine Recognition. IEEE Sensors Journal, 2018.
Representative Works and Achievements:
1. Monograph: Human Activity Recognition Based on Wearable Sensors and Machine Learning, Beijing: Publishing House of Electronics Industry, August 2024.
2. Invention patent: A Wrist-Worn Smart Wearable Device with Activity Recognition Functions, 2024.
3. Second Prize of the Henan Science and Technology Progress Award: Upper-Limb Rehabilitation Robot Control Technology and Applications Integrating Multi-Joint Viscoelasticity and Movement Intention of the Human Arm, 2023, ranked fourth.
4. First Prize of the Henan Provincial Department of Education Outstanding Scientific and Technological Paper Award: “Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism,” 2023.
Contact:
Email: ywang@zut.edu.cn
