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Alejandro Gonzalez
Researcher at Universidad Autónoma de San Luis Potosí
Publications - 25
Citations - 303
Alejandro Gonzalez is an academic researcher from Universidad Autónoma de San Luis Potosí. The author has contributed to research in topics: Kalman filter & Double inverted pendulum. The author has an hindex of 8, co-authored 25 publications receiving 260 citations. Previous affiliations of Alejandro Gonzalez include French Institute for Research in Computer Science and Automation & University of Montpellier.
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Proceedings ArticleDOI
Estimation of the center of mass with Kinect and Wii balance board
TL;DR: This paper aims at applying the statically equivalent serial chain (SESC) method to obtain CoM position using widely available and portable hardware; a Microsoft's Kinect and a Nintendo's Wii balance board and demostrates that the SESC method can be applied outside the laboratory environment using a Kinect.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Adaptive Interface for Personalized Center of Mass Self-Identification in Home Rehabilitation
TL;DR: This paper found that a model capable of estimating the CoM position with an RMSE of 27 mm could be obtained after only 90 s of identification when the adaptive interface was used, whereas twice as much time was needed when the interface was not used.
Proceedings ArticleDOI
Three dimensional visualization of the statically equivalent serial chain from kinect recording
TL;DR: An overview of the SESC concept and the identification procedure is presented and the aspects involved in the visualization tool are discussed and results are shown in order to verify the performance.