V
Vincent Bonnet
Researcher at University of Paris-Est
Publications - 72
Citations - 1022
Vincent Bonnet is an academic researcher from University of Paris-Est. The author has contributed to research in topics: Kinematics & Extended Kalman filter. The author has an hindex of 14, co-authored 68 publications receiving 791 citations. Previous affiliations of Vincent Bonnet include University of Montpellier & Paris 12 Val de Marne University.
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Ergonomic contribution of ABLE exoskeleton in automotive industry
TL;DR: In this article, the authors used ABLE upper-limb exoskeleton, developed by the French Atomic Energy Commission (CEA), which has the functionality to compensate arm and tools loads.
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Real-time Estimate of Body Kinematics During a Planar Squat Task Using a Single Inertial Measurement Unit
TL;DR: The results, associated with the real-time capability of the method, open the door to future field applications in both rehabilitation and sport.
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Whole Body Center of Mass Estimation with Portable Sensors: Using the Statically Equivalent Serial Chain and a Kinect
TL;DR: A method that enables tracking CoM position using low-cost sensors that can be moved around by a therapist or easily installed inside a patient's home is developed and has an equivalent performance as the literature-based one with high-end sensors.
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Monitoring of Hip and Knee Joint Angles Using a Single Inertial Measurement Unit During Lower Limb Rehabilitation
TL;DR: In this paper, a least square approach based on the minimization of the difference between the measured and estimated 3D linear accelerations and angular velocities was used to solve the related analytical problem.
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Optimal Exciting Dance for Identifying Inertial Parameters of an Anthropomorphic Structure
Vincent Bonnet,Philippe Fraisse,André Crosnier,Maxime Gautier,Alejandro Gonzalez,Gentiane Venture +5 more
TL;DR: A new method based on the identification model of legged systems and on optimization processes to generate excitation motions while handling mechanical constraints is proposed, which has been experimentally validated onto an HOAP-3 humanoid robot and with one human subject.