AIMC Topic: Walking

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Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.

Sensors (Basel, Switzerland) Apr 17, 2021
Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals might be a ...
Movement Gait Walking Speed Humans Aged Deep Learning Walking
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Estimation of the Continuous Walking Angle of Knee and Ankle (Talocrural Joint, Subtalar Joint) of a Lower-Limb Exoskeleton Robot Using a Neural Network.

Sensors (Basel, Switzerland) Apr 16, 2021
A lower-limb exoskeleton robot identifies the wearer's walking intention and assists the walking movement through mechanical force; thus, it is important to be able to identify the wearer's movement in real-time. Measurement of the angle of the knee ...
Biomechanical Phenomena Lower Extremity Robotics Humans Neural Networks, Computer Exoskeleton Device Subtalar Joint Gait Knee Joint Ankle Joint Walking Ankle
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Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning.

Scientific reports Apr 12, 2021
Deep learning (DL) is an advanced machine learning approach used in diverse areas such as bioinformatics, image analysis, and natural language processing. Here, using brain magnetic resonance imaging (MRI) data obtained at early stages of infarcts, w...
Humans Prognosis Area Under Curve Aged Walking Deep Learning Brain Infarction ROC Curve
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Overground Robot-Assisted Gait Training for Pediatric Cerebral Palsy.

Sensors (Basel, Switzerland) Mar 16, 2021
The untethered exoskeletal robot provides patients with the freest and realistic walking experience by assisting them based on their intended movement. However, few previous studies have reported the effect of robot-assisted gait training (RAGT) usin...
Humans Female Male Walking Gait Child, Preschool Cerebral Palsy Infant Child Pilot Projects Robotics
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The Influence of EMG-Triggered Robotic Movement on Walking, Muscle Force and Spasticity after an Ischemic Stroke.

Medicina (Kaunas, Lithuania) Mar 2, 2021
: Application of the EMG-driven robotic training in everyday therapeutic processes is a modern and innovative form of neurorehabilitation among patients after stroke. Active participation of the patient contributes to significantly higher activation ...
Time and Motion Studies Muscles Stroke Rehabilitation Stroke Walking Brain Ischemia Ischemic Stroke Postural Balance Humans Treatment Outcome Robotics
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Biped Walking Based on Stiffness Optimization and Hierarchical Quadratic Programming.

Sensors (Basel, Switzerland) Mar 2, 2021
The spring-loaded inverted pendulum model is similar to human walking in terms of the center of mass (CoM) trajectory and the ground reaction force. It is thus widely used in humanoid robot motion planning. A method that uses a velocity feedback cont...
Gait Models, Biological Motion Robotics Walking Mechanical Phenomena Humans Computer Simulation Biomechanical Phenomena
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Holistic LSTM for Pedestrian Trajectory Prediction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 2, 2021
Accurate predictions of future pedestrian trajectory could prevent a considerable number of traffic injuries and improve pedestrian safety. It involves multiple sources of information and real-time interactions, e.g., vehicle speed and ego-motion, pe...
Intention Image Processing, Computer-Assisted Humans Walking Pedestrians Neural Networks, Computer
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Individualized Gait Generation for Rehabilitation Robots Based on Recurrent Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 1, 2021
Individualized reference gait patterns for lower limb rehabilitation robots can greatly improve the effectiveness of rehabilitation. However, previous methods can only generate customized gait patterns at several fixed discrete walking speeds and gen...
Gait Walking Speed Humans Biomechanical Phenomena Neural Networks, Computer Robotics Walking
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Indirect Estimation of Vertical Ground Reaction Force from a Body-Mounted INS/GPS Using Machine Learning.

Sensors (Basel, Switzerland) Feb 23, 2021
Vertical ground reaction force (vGRF) can be measured by force plates or instrumented treadmills, but their application is limited to indoor environments. Insoles remove this restriction but suffer from low durability (several hundred hours). Therefo...
Machine Learning Biomechanical Phenomena Walking Gait Shoes
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Reduced Adaptive Fuzzy Decoupling Control for Lower Limb Exoskeleton.

IEEE transactions on cybernetics Feb 17, 2021
This article reports our study on a reduced adaptive fuzzy decoupling control for our lower limb exoskeleton system which typically is a multi-input-multi-output (MIMO) uncertain nonlinear system. To show the applicability and generality of the propo...
Gait Nonlinear Dynamics Exoskeleton Device Equipment Design Machine Learning Signal Processing, Computer-Assisted Fuzzy Logic Algorithms Walking Lower Extremity Biomechanical Phenomena Humans
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