The purpose of this work is to investigate the efficiency of wearable assistive devices under different load-carriage walking. We designed an experimental platform with a lightweight ankle-assisted robot. Eight subjects were tested in three experimen...
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Sep 1, 2021
The purpose of this study was to investigate the effect of robotic-assisted gait training (RAGT) on functional status and the quality of life in patients with subacute complete spinal cord injury (SCI). Thirty-seven patients with complete SCI were in...
Aerospace medicine and human performance
Jul 1, 2021
Current spacesuits are cumbersome and metabolically expensive. The use of robotic actuators could improve extravehicular activity performance. We propose a novel method to quantify the benefit of robotic actuators during planetary ambulation. Using ...
BACKGROUND: No general recommendations are yet available for the application of robot-assisted treadmill therapy for children with cerebral palsy regarding the length and intensity of the intervention.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2021
BACKGROUND: Population aging is now a universal trend. Many elderly persons can only conduct limited and short time walking because of age-related skeletal muscle decline of the lower limbs. The wearable device for walking assistance is beneficial to...
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2021
BACKGROUND: To provide effective rehabilitation in the early post-injury stage, a novel robotic rehabilitation platform is proposed, which provides full-body arm-leg rehabilitation via belt actuation to severely disabled patients who are restricted t...
Mathematical biosciences and engineering : MBE
Dec 10, 2020
The gait speed affects the gait patterns (biomechanical and spatiotemporal parameters) of distinct age populations. Classification of normal, slow and fast walking is fundamental for understanding the effects of gait speed on the gait patterns and fo...
The generation of walking patterns is central to bio-inspired robotics and has been attained using methods encompassing diverse numerical as well as analog implementations. Here, we demonstrate the possibility of synthesizing viable gaits using a par...
The goal of this study is to clarify the usefulness of deep learning methods for pedestrian collision detection using dashcam videos for advanced automatic collision notification, focusing on pedestrians, as they make up the highest number of traffic...
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