Angelo Maria Sabatini

Computer Vision and Pattern Recognition · 2005–2013

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Angelo Maria Sabatini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. J. Laviola
  2. Daniel Roetenberg
  3. John L. Crassidis
  4. M. Sanjeev Arulampalam
  5. G. Welch
  6. Lawrence R. Rabiner
  7. Henk Luinge
  8. F. Markley
  9. Peter H. Veltink
  10. Ling Bao

Who trusts Angelo Maria Sabatini overall

  1. Sebastian O. H. Madgwick
  2. Roberto G. Valenti
  3. Pedro Tiago Martins Batista
  4. Alessandro Filippeschi
  5. Hassen Fourati
  6. Valentina Camomilla
  7. Weijun Tao
  8. Sebastijan Sprager
  9. Ivan Dryanovski
  10. Andrew J. L. Harrison

Papers from Angelo Maria Sabatini's perspective

Ordered by how strongly the researchers Angelo Maria Sabatini trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation (IEEE transactions on neural systems and rehabilitation engineering)
  2. Introduction to random signals and applied kalman filtering (3rd ed
  3. The Nature of Statistical Learning Theory
  4. A tutorial on hidden Markov models and selected applications in speech recognition
  5. Assessment of walking features from foot inertial sensing (IEEE Transactions on Biomedical Engineering)
  6. 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))
  7. Motion Tracking: No Silver Bullet, but a Respectable Arsenal (IEEE Computer Graphics and Applications)
  8. Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. (Journal of Biomechanics)
  9. Attitude Error Representations for Kalman Filtering
  10. LIBSVM: A library for support vector machines

Their papers