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Jean-Pierre Bresciani

Showing results (1-10 of 43) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Person identification from gait analysis with a depth camera at homeAmandine Dubois, Jean-Pierre Bresciani
Neural Computation|December 16, 2021
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in NeuroscienceJulien Audiffren, Jean-Pierre Bresciani
Journal of Biomechanics|February 5, 2018
Validation of an ambient system for the measurement of gait parametersAmandine Dubois, Jean-Pierre Bresciani
Journal of Eye Movement Research|April 8, 2021
A skeleton-based approach to analyzing oculomotor behavior when viewing animated charactersThibaut Le Naour, Jean-Pierre Bresciani
Neuroreport|June 26, 2007
Signal reliability modulates auditory-tactile integration for event countingJean-Pierre Bresciani, Marc O Ernst
Sensors (Basel, Switzerland)|December 23, 2017
Automating the Timed Up and Go Test Using a Depth CameraAmandine Dubois, Titus Bihl, Jean-Pierre Bresciani
Informatics for Health & Social Care|August 14, 2018
Automatic measurement of fall risk indicators in timed up and go testAmandine Dubois, Titus Bihl, Jean-Pierre Bresciani
Sensors (Basel, Switzerland)|April 3, 2021
Identifying Fall Risk Predictors by Monitoring Daily Activities at Home Using a Depth Sensor Coupled to Machine Learning AlgorithmsAmandine Dubois, Titus Bihl, Jean-Pierre Bresciani
Human Movement Science|June 30, 2019
3D feedback and observation for motor learning: Application to the roundoff movement in gymnasticsThibaut Le Naour, Chiara Ré, Jean-Pierre Bresciani
Brain Research Bulletin|April 9, 2008
Tri-modal integration of visual, tactile and auditory signals for the perception of sequences of eventsJean-Pierre Bresciani, Franziska Dammeier, Marc O Ernst
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Person identification from gait analysis with a depth camera at homeAmandine Dubois, Jean-Pierre Bresciani
Neural Computation|December 16, 2021
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in NeuroscienceJulien Audiffren, Jean-Pierre Bresciani
Journal of Biomechanics|February 5, 2018
Validation of an ambient system for the measurement of gait parametersAmandine Dubois, Jean-Pierre Bresciani
Journal of Eye Movement Research|April 8, 2021
A skeleton-based approach to analyzing oculomotor behavior when viewing animated charactersThibaut Le Naour, Jean-Pierre Bresciani
Neuroreport|June 26, 2007
Signal reliability modulates auditory-tactile integration for event countingJean-Pierre Bresciani, Marc O Ernst
Sensors (Basel, Switzerland)|December 23, 2017
Automating the Timed Up and Go Test Using a Depth CameraAmandine Dubois, Titus Bihl, Jean-Pierre Bresciani
Informatics for Health & Social Care|August 14, 2018
Automatic measurement of fall risk indicators in timed up and go testAmandine Dubois, Titus Bihl, Jean-Pierre Bresciani
Sensors (Basel, Switzerland)|April 3, 2021
Identifying Fall Risk Predictors by Monitoring Daily Activities at Home Using a Depth Sensor Coupled to Machine Learning AlgorithmsAmandine Dubois, Titus Bihl, Jean-Pierre Bresciani
Human Movement Science|June 30, 2019
3D feedback and observation for motor learning: Application to the roundoff movement in gymnasticsThibaut Le Naour, Chiara Ré, Jean-Pierre Bresciani
Brain Research Bulletin|April 9, 2008
Tri-modal integration of visual, tactile and auditory signals for the perception of sequences of eventsJean-Pierre Bresciani, Franziska Dammeier, Marc O Ernst
Pageof 5