Topic

M. Crisóstomo

Also published under:Manuel Crisóstomo, Manuel M. Crisostomo, Manuel Crisostomo, M. M. Crisostomo, M. Crisostomo, Manuel M. Crisóstomo, M. M. Crisóstomo

Affiliation

Universidade de Coimbra, Coimbra, Coimbra, PT

Topic

Human Gait,Extreme Learning Machine,Gait Analysis,Ground Reaction Force,Computational Intelligence,Dominant Limb,Gait Pattern,Neural Network,Non-dominant Limb,Vertical Ground Reaction Force,3D Skeleton,Abnormal Index,Age Duration,Angle In Order,Ankle Angle,Anterior Cruciate Ligament,Anterior Cruciate Ligament Reconstruction,Back Propagation Neural Network Model,Balance Control,Biomechanics,Body Mass Index,Camera Calibration,Center Of Mass,Classification Problem,Computer Vision,Correct Depth,Degree Of Recovery,Extreme Learning Machine Model,Feed-forward Network,Friction Coefficient,Gait Adaptation,Gait Characteristics,Gait Cycle,Gait Data,Gait Disorders,Gait Disturbance,Gait Parameters,Gait Quality,Gait Test,Gait Variability,Generation Of Profiles,Gradient-based Optimization,Graphical Analysis,Graphical Representation,Healthy Pattern,Healthy Users,Hidden Layer,Hip Joint,Human Behavior,Human Motion,

Biography

Manuel M. Crisóstomo was born in Coimbra, Portugal, in 1952. He received the B.Sc. degree from the Department of Electrical Engineering and Computer Science, University of Coimbra, Coimbra, in 1978, the M.Sc. degree from the Technical University of Lisbon, Lisbon, Portugal, in 1987, and the Ph.D. degree from Brunel University, Uxbridge, U.K., in 1992.
He is currently a Lecturer with the Department of Electrical Engineering and Computer Science, University of Coimbra, where he is also a Researcher with the Institute of Systems and Robotics. His main research interests include robotics, sensors and actuators for robots, and classical and fuzzy control systems.