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Ko Ayusawa

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Forced Movements Facilitate Reversal Learning in Rats: Findings from a Rat Robotic Rehabilitation ModelHidekazu Kaneko, Ko Ayusawa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Real-time identification and visualization of human segment parametersGentiane Venture, Ko Ayusawa, Yoshihiko Nakamura
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Motion capture based identification of the human body inertial parametersGentiane Venture, Ko Ayusawa, Yoshihiko Nakamura
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 23, 2015
Modeling and Identification of a Realistic Spiking Neural Network and Musculoskeletal Model of the Human Arm, and an Application to the Stretch ReflexManish Sreenivasa, Ko Ayusawa, Yoshihiko Nakamura
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Risk estimation for intervertebral disc pressure through musculoskeletal joint reaction force simulationYumeko Imamura, Ko Ayusawa, Eiichi Yoshida
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Simulation-based design for robotic care device: Optimizing trajectory of transfer support robotYumeko Imamura, Ko Ayusawa, Yui Endo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Monitoring the segment parameters during long term physical training from motion capture dataGentiane Venture, Ko Ayusawa, Dana Kulic, et al.
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
Forward dynamics simulation of human figures on assistive devices using geometric skin deformation modelYusuke Yoshiyasu, Ko Ayusawa, Eiichi Yoshida, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computationAkihiko Murai, Yusuke Kawano, Ko Ayusawa, et al.
Sensors (Basel, Switzerland)|October 13, 2021
DATSURYOKU Sensor-A Capacitive-Sensor-Based Belt for Predicting Muscle Tension: Preliminary ResultsAkihiko Murai, Shusuke Kanazawa, Ko Ayusawa, et al.
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Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Forced Movements Facilitate Reversal Learning in Rats: Findings from a Rat Robotic Rehabilitation ModelHidekazu Kaneko, Ko Ayusawa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Real-time identification and visualization of human segment parametersGentiane Venture, Ko Ayusawa, Yoshihiko Nakamura
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Motion capture based identification of the human body inertial parametersGentiane Venture, Ko Ayusawa, Yoshihiko Nakamura
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 23, 2015
Modeling and Identification of a Realistic Spiking Neural Network and Musculoskeletal Model of the Human Arm, and an Application to the Stretch ReflexManish Sreenivasa, Ko Ayusawa, Yoshihiko Nakamura
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Risk estimation for intervertebral disc pressure through musculoskeletal joint reaction force simulationYumeko Imamura, Ko Ayusawa, Eiichi Yoshida
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Simulation-based design for robotic care device: Optimizing trajectory of transfer support robotYumeko Imamura, Ko Ayusawa, Yui Endo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Monitoring the segment parameters during long term physical training from motion capture dataGentiane Venture, Ko Ayusawa, Dana Kulic, et al.
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
Forward dynamics simulation of human figures on assistive devices using geometric skin deformation modelYusuke Yoshiyasu, Ko Ayusawa, Eiichi Yoshida, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
In-vitro identification of shoulder joint and muscle dynamics based on motion capture and musculoskeletal computationAkihiko Murai, Yusuke Kawano, Ko Ayusawa, et al.
Sensors (Basel, Switzerland)|October 13, 2021
DATSURYOKU Sensor-A Capacitive-Sensor-Based Belt for Predicting Muscle Tension: Preliminary ResultsAkihiko Murai, Shusuke Kanazawa, Ko Ayusawa, et al.
Pageof 2