6 Result(s)
-
Article
Open AccessA pilot study on locomotion training via biomechanical models and a wearable haptic feedback system
Locomotion is a fundamental human skill. Real-time sensing and feedback is a promising strategy for motion training to reconstruct healthy locomotion patterns lost due to aging or disease, and to prevent injur...
-
Chapter and Conference Paper
Understanding and Transfer of Human Skills in Robotics Using Deep Learning and Musculoskeletal Modeling
With the application of deep learning, prosthetic rehabilitation can be carried out in a manner that not only emulates human manipulation skills and performance, but can also work more efficiently. In this st...
-
Chapter and Conference Paper
Efficacy of Cardiovascular Activity in Stroke Rehabilitation Therapy
We aim to optimize post-stroke motor control rehabilitation therapy via integration of cardiovascular activity. Although stroke therapy ranges from months to years for some stroke patients, the majority of neu...
-
Chapter
Muscular Effort for the Characterization of Human Postural Behaviors
The human selection of specific postures among the infinity of possibilities is the result of a long and complex process of learning. Through learning, humans seem to come to discover the properties of their b...
-
Chapter and Conference Paper
Human Motion Reconstruction and Synthesis of Human Skills
Reconstructing human motion dynamics in real-time is a challenging problem since it requires accurate motion sensing, subject specific models, and efficient reconstruction algorithms. A promising approach is t...
-
Chapter
Human Motion Reconstruction by Direct Control of Marker Trajectories
Understanding the basis of human movement and reproducing it in robotic environments is a compelling challenge that has engaged a multidisciplinary audience. In addressing this challenge, an important initial ...
