Xuanhe Chen

ORCID: 0009-0005-5724-2435
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About
Contact & Profiles
Research Areas
  • Indoor and Outdoor Localization Technologies
  • Advanced Sensor and Energy Harvesting Materials
  • Soft Robotics and Applications
  • Robotics and Sensor-Based Localization
  • Modular Robots and Swarm Intelligence
  • Non-Invasive Vital Sign Monitoring
  • Robotic Mechanisms and Dynamics
  • EEG and Brain-Computer Interfaces
  • Advanced machining processes and optimization
  • Advanced Measurement and Metrology Techniques
  • Advanced Surface Polishing Techniques

Beihang University
2023-2025

University of Shanghai for Science and Technology
2016

Long-term and high-precision positioning is the key to pedestrian indoor method. The estimation methods relying only on inertial measurement unit (IMU) itself lack external observations that can provide absolute information, cumulative error easily leads distortion of calculated trajectory. In this paper, based Extended Kalman Filter (EKF) algorithm, environmental magnetic field information taken as observation quantity, a method combining navigation proposed. suppressed from both yaw angle...

10.3390/s25092891 article EN cc-by Sensors 2025-05-03

Atherosclerosis is the main cause of ischemic stroke. It occurs as a condition that leads to thickening arterial blood vessel walls and narrowing vessels, which can seriously affect normal flow blood. Currently, detection stenosis relies on large-scale hospital equipment like computed tomography (CT) magnetic resonance imaging (MRI), require specialized technicians operate are not convenient for daily use. In addition, affects multiple parameters hemodynamics in field, relying single...

10.1021/acssensors.4c03537 article EN ACS Sensors 2025-02-25

Highly accurate positioning information can bring higher enhancement and value to basic applications. In the absence of infrastructure or third-party equipment, relying only on inertial measurement unit (IMU) itself results in severe drift. Aiming this challenge, we propose a high-precision localization method based multi-feature fusion body-area sensor networks achieve reliable low-drift over long periods time without need for assistance. The proposed mainly includes three parts: foot shank...

10.1109/tim.2023.3345905 article EN IEEE Transactions on Instrumentation and Measurement 2023-12-22

10.1109/robio64047.2024.10907338 article EN 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2024-12-10
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