2021
DOI: 10.1109/lra.2021.3068691
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Control and Evaluation of Body Weight Support Walker for Overground Gait Training

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Cited by 10 publications
(16 citation statements)
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“…Assuming that the initial velocity and terminal velocity are known, the initial acceleration and terminal acceleration are both zero, and the transition time length is 𝑡 0 , a cubic polynomial can be determined. The velocity and acceleration expressions are shown in Equation (10).…”
Section: Wheel System Control Methods Based On Walking Speedmentioning
confidence: 99%
See 1 more Smart Citation
“…Assuming that the initial velocity and terminal velocity are known, the initial acceleration and terminal acceleration are both zero, and the transition time length is 𝑡 0 , a cubic polynomial can be determined. The velocity and acceleration expressions are shown in Equation (10).…”
Section: Wheel System Control Methods Based On Walking Speedmentioning
confidence: 99%
“…During walking, the pneumatic walking assist device is worn on the right lower limb of the human body, and the pneumatic walking assists device works with the intelligent walker coordinately to provide walking assistance force for the user's lower limb (hip joint). Dong et al [10] combined the weight support system with the intelligent walker to support the human body in the process of standing and walking. During walking, according to the gait phase of the user's lower limbs, the stiffness of the support system can be controlled to make the user have a more natural gait.…”
Section: Introductionmentioning
confidence: 99%
“…Knowing where the individual is within their gait cycle is also imperative, as the prescribed motions or forces should change with gait progression. The way the gait cycle is used within the control of a robotic device can be discrete [28]- [30] or continuous [25], [31]. The gait cycle is broken down into sections for many discrete applications, like stance, swing, preswing, etc., and different loadings or motions are prescribed.…”
Section: A Prior Workmentioning
confidence: 99%
“…The gait cycle is broken down into sections for many discrete applications, like stance, swing, preswing, etc., and different loadings or motions are prescribed. Finite state machines (FSM) use inertial measurement units (IMU) [29] or load cell [28] data to determine the present gait phase. For a more continuous force or movement profile, a continuous estimation of the gait cycle percentage can be output from a normalized state space and a reference trajectory [25] or a machine learning algorithm in real-time [31].…”
Section: A Prior Workmentioning
confidence: 99%
“…In order to address this situation, many researchers have developed various nursing care support systems using robotics, Augmented reality (AR), Mixed Reality (MR) and Virtual reality (VR) technologies. So far, many care support systems have been proposed, including a teaching system to help caregivers learn nursing care [1] [2] [3] [4], a teaching system to support the patient's rehabilitation [5] [6] [7] [8], and a robotic system to support the patient's activities by physically contacting the patient [9] [10].…”
Section: Introductionmentioning
confidence: 99%