Emanuele Ruffaldi
Aerospace Engineering · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 15 citations into it
- Electrical and Electronic Engineering — 12 citations into it
- Biomedical Engineering — 7 citations into it
Whom Emanuele Ruffaldi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Emanuele Ruffaldi's perspective
Ordered by how strongly the researchers Emanuele Ruffaldi trusts endorse each paper. Same corpus, a different order for every researcher.
- Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation (IEEE transactions on neural systems and rehabilitation engineering)
- An extended Kalman filter for quaternion-based orientation estimation using MARG sensors (Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180))
- Measuring orientation of human body segments using miniature gyroscopes and accelerometers (Medical and Biological Engineering and Computing)
- Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing (IEEE Transactions on Biomedical Engineering)
- Practical motion capture in everyday surroundings (ACM Transactions on Graphics)
- Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing (IEEE Transactions on Biomedical Engineering)
- A Simplified Quaternion-Based Algorithm for Orientation Estimation From Earth Gravity and Magnetic Field Measurements (IEEE Transactions on Instrumentation and Measurement)
- Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors (Medical and Biological Engineering and Computing)
- Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing (Italian National Conference on Sensors)
- Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors