Mrs.Huizhen mu | Indoor Positioning | Best Researcher Award
Mrs.Huizhen mu, East China Normal University, China
Huizhen Mu is a postgraduate researcher at East China Normal University, specializing in Ultra-Wide Band (UWB) indoor positioning and algorithm development at the School of Communication and Electronic Engineering. He has published numerous papers in esteemed journals and conferences and has received awards for his contributions. With a strong educational background and industry collaborations.
Profile
Educational Qualification
Huizhen Mu is currently studying at the School of Communication and Electronic Engineering, East China Normal University. Muās current main research direction is UWB indoor positioning and algorithm development.
Professional ExperienceĀ
1. Professor East China Normal University, Shanghai, China- Present
Teach undergraduate and graduate courses in [specific areas of expertise]
Conduct research in [research areas]
Supervise master’s and doctoral students
2. Associate Professor
East China Normal University, Shanghai, China
3. Lecturer
East China Normal University, Shanghai, China
Area of ResearchĀ
- UWB
2. Indoor positioning
3. Algorithm development
Contributions
Proposing a method integrating Ultra Wide Band (UWB) and visual positioning to enhance indoor positioning accuracy. UWB positioning uses Graph Convolutional Networks (GCN) for feature extraction, while visual positioning applies Bidirectional GRU (Bi-GRU) to refine results. The final coordinates are fused using a Particle Filter (PF). Experiments show the UWB accuracy improves by 55% compared to the Chan-Taylor algorithm, and visual positioning accuracy improves by 71% over the Zhang Zhengyou method. The fusion method achieves 80% accuracy within 0.24m, improving overall accuracy by over 50%.
Publication Top Notes
Patents
An indoor positioning method based on XGBoost optimization and fusion of UWB and PDR”