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Theoretical approach for designing the rehabilitation robot controller., , , , , , , and . Advanced Robotics, 33 (14): 674-686 (2019)Immediate effects of a controllable knee ankle foot orthosis for functional compensation of gait in patients with proximal leg weakness., , , and . Med. Biol. Engineering and Computing, 46 (1): 43-53 (2008)Design and Implementation of a Novel Semi-Active Hybrid Unilateral Stance Control Knee Ankle Foot Orthosis., , , , , , and . IROS, page 5163-5168. IEEE, (2018)A Subject-Specific Kinematic Model to Predict Human Motion in Exoskeleton-Assisted Gait., , , , , , , , , and . Front. Neurorobot., (2018)EMG-based Motion Intention Recognition for Controlling a Powered Knee Orthosis., , , , , , and . ICARSC, page 1-6. IEEE, (2019)Neuroprosthetic device for functional training, compensation or rehabilitation of lower limbs during gait., , , , , and . NER, page 1183-1186. IEEE, (2019)Analysis of biomechanical data to determine the degree of users participation during robotic-assisted gait rehabilitation., , , and . EMBC, page 4855-4858. IEEE, (2012)A flexible architecture to enhance wearable robots: Integration of EMG-informed models., , , , , , , , , and 2 other author(s). IROS, page 4368-4374. IEEE, (2015)Benchmarking lower limb wearable robots: emerging approaches and technologies., , , , , and . PETRA, page 51:1-51:4. ACM, (2015)Daily Locomotion Recognition and Prediction: A Kinematic Data-Based Machine Learning Approach., , , , and . IEEE Access, (2020)