Vincent Hernandez

Tokyo Metropolitan Institute of Gerontology — Japan

Engineering · Physical Sciences

9h-index281citations23works1.52yr avg
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Research Topics

Muscle activation and electromyography studies(10), Musculoskeletal pain and rehabilitation(5), Motor Control and Adaptation(5), Gait Recognition and Analysis(4), Stroke Rehabilitation and Recovery(3)

Publications23 total

Coordinate System Transformation Method for Comparing Different Types of Data in Different Dataset Using Singular Value Decomposition
IEEE Transactions on Computational Social Systems·2025Open Access
Latent Space Representation of Adversarial AutoEncoder for Human Activity Recognition: Application to a low-cost commercial force plate and inertial measurement units
Smart Health·2025· 3 cited
Estimating Subjective Ikigai of Older Adults Based on the Analysis of Voice Communication in Social Activities: A Case Study of Frailty Check Activity Scenes
Lecture notes in computer science·2024
Latent Space Representation of Human Movement: Assessing the Effects of Fatigue
Sensors·2024· 3 citedOpen Access
Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement
Sensors·2022· 16 citedOpen Access
Upper-Limb Isometric Force Feasible Set: Evaluation of Joint Torque-Based Models
Biomechanics·2021· 4 citedOpen Access
A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate
Sensors·2021· 50 citedOpen Access
Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach
Gait & Posture·2020· 76 cited
Adversarial autoencoder for visualization and classification of human activity: Application to a low-cost commercial force plate
Journal of Biomechanics·2020· 14 cited
Convolutional and recurrent neural network for human activity recognition: Application on American sign language
PLoS ONE·2020· 37 citedOpen Access
Control of a Telepresence Robot Using Force data
IFAC-PapersOnLine·2020· 2 citedOpen Access
Maximal isometric force exertion predicted by the force feasible set formalism: application to handbraking
Ergonomics·2019· 1 citedOpen Access
Convolutional and Recurrent Neural Network for Human Action Recognition: application on American Sign Language
2019· 2 citedOpen Access
American Sign Language - LeapMotion - 25 subjects - 60 signs
Data Archiving and Networked Services (DANS)·2019Open Access
Pain prediction by using FSR sensors
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)·2019
Force feasible set prediction with artificial neural network and musculoskeletal model
Computer Methods in Biomechanics & Biomedical Engineering·2018· 10 cited
Wheelchair propulsion: Force orientation and amplitude prediction with Recurrent Neural Network
Journal of Biomechanics·2018· 9 cited
Evaluation and validation of musculoskeletal force feasible set indices: Application to manual wheelchair propulsion
Journal of Biomechanics·2017· 6 cited
Improving the upper-limb force feasible set evaluation by muscles maximal isometric force identification and cocontraction factors
Journal of Biomechanics·2017· 4 cited
Human upper-limb force capacities evaluation with robotic models for ergonomic applications: effect of elbow flexion
Computer Methods in Biomechanics & Biomedical Engineering·2015· 11 cited
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Frequent Co-authors

Gentiane Venture(13), Nasser Rezzoug(9), Philippe Gorce(9), Dana Kulić(3), Kenta Kamikokuryo(3), Tomoya Suzuki(2), Julien Jacquier-Bret(2), Emiko Uchiyama(2), Katsuya Iijima(2), Ken-ichiro Yabu(2), Takahiro Miura(2), Davood Dadkhah(1), Vahid Babakeshizadeh(1), Yanran Jiang(1), Bernard Chen(1), Takumi Haga(1), P.C. Perez(1), Luís G. Pérez(1), Luis Manuel Tomás Balibrea(1), Héctor-David Puyosa Pińa(1)