His main research concerns Artificial intelligence, Computer vision, Physical medicine and rehabilitation, Physical therapy and Motor control. The various areas that he examines in his Artificial intelligence study include Kinematic chain and Computer graphics. He integrates many fields in his works, including Computer vision and Flexibility.
His research integrates issues of Epileptogenic zone, Stereoelectroencephalography and Major complication in his study of Physical medicine and rehabilitation. His Physical therapy research includes elements of Biceps, Functional electrical stimulation and Gait analysis. His Motor control research is multidisciplinary, incorporating elements of Basal ganglia and Motor program.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Physical medicine and rehabilitation, Robot and Simulation. The concepts of his Artificial intelligence study are interwoven with issues in Position and Pattern recognition. Giancarlo Ferrigno works in the field of Computer vision, focusing on Motion analysis in particular.
His Physical medicine and rehabilitation research incorporates themes from Rehabilitation, Physical therapy, Functional electrical stimulation and Motor control. His work in Robot addresses issues such as Control engineering, which are connected to fields such as Control theory. He is interested in Haptic technology, which is a branch of Simulation.
Robot, Artificial intelligence, Simulation, Teleoperation and Computer vision are his primary areas of study. His work deals with themes such as Artificial neural network, Manipulator, Robotic arm and Invasive surgery, which intersect with Robot. Many of his studies involve connections with topics such as Machine learning and Artificial intelligence.
Giancarlo Ferrigno usually deals with Simulation and limits it to topics linked to Torque and Control system. His biological study spans a wide range of topics, including Task, Stiffness and Haptic technology. His Computer vision study incorporates themes from Imaging phantom, Fluoroscopy and Robustness.
Giancarlo Ferrigno spends much of his time researching Robot, Artificial intelligence, Artificial neural network, Manipulator and Teleoperation. His Robot study combines topics from a wide range of disciplines, such as Robotic arm, Simulation, Haptic technology and Task analysis. His studies deal with areas such as Machine learning and Computer vision as well as Artificial intelligence.
The study incorporates disciplines such as Cluster analysis and Robustness in addition to Computer vision. His study looks at the relationship between Artificial neural network and topics such as Control engineering, which overlap with Tele operation, Model predictive control, Lateral stability and Control. His Teleoperation research integrates issues from Robot kinematics and Task.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Elite: A Digital Dedicated Hardware System for Movement Analysis Via Real-Time TV Signal Processing
Giancarlo Ferrigno;Antonio Pedotti.
IEEE Transactions on Biomedical Engineering (1985)
Chest wall and lung volume estimation by optical reflectance motion analysis
S. J. Cala;C. M. Kenyon;G. Ferrigno;P. Carnevali.
Journal of Applied Physiology (1996)
Human respiratory muscle actions and control during exercise
A. Aliverti;S. J. Cala;R. Duranti;G. Ferrigno.
Journal of Applied Physiology (1997)
Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation
Stefano Corazza;Lars Mündermann;Emiliano Gambaretto;Giancarlo Ferrigno.
International Journal of Computer Vision (2010)
Technique for the evaluation of derivatives from noisy biomechanical displacement data using a model-based bandwidth-selection procedure.
M. D'Amico;Giancarlo Ferrigno.
Medical & Biological Engineering & Computing (1990)
Haptics in Robot-Assisted Surgery: Challenges and Benefits
Nima Enayati;Elena De Momi;Giancarlo Ferrigno.
IEEE Reviews in Biomedical Engineering (2016)
Three-dimensional optical analysis of chest wall motion
G. Ferrigno;P. Carnevali;A. Aliverti;F. Molteni.
Journal of Applied Physiology (1994)
Cycling Induced by Electrical Stimulation Improves Motor Recovery in Postacute Hemiparetic Patients: A Randomized Controlled Trial
Emilia Ambrosini;Simona Ferrante;Alessandra Pedrocchi;Giancarlo Ferrigno.
Improved Human–Robot Collaborative Control of Redundant Robot for Teleoperated Minimally Invasive Surgery
Hang Su;Chenguang Yang;Giancarlo Ferrigno;Elena De Momi.
international conference on robotics and automation (2019)
MUNDUS project: MUltimodal neuroprosthesis for daily upper limb support.
Alessandra L. G. Pedrocchi;Simona Ferrante;Emilia Ambrosini;Marta Gandolla.
Journal of Neuroengineering and Rehabilitation (2013)
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