AIMC Topic: Walking

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Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning.

Sensors (Basel, Switzerland) Jul 29, 2022
Identifying people's identity by using behavioral biometrics has attracted many researchers' attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is identified based on their walking style. Over the years, gait reco...
Biometry Humans Algorithms Walking Deep Learning Gait
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Relation between Cortical Activation and Effort during Robot-Mediated Walking in Healthy People: A Functional Near-Infrared Spectroscopy Neuroimaging Study (fNIRS).

Sensors (Basel, Switzerland) Jul 25, 2022
Force and effort are important components of a motor task that can impact rehabilitation effectiveness. However, few studies have evaluated the impact of these factors on cortical activation during gait. The purpose of the study was to investigate th...
Walking Gait Neuroimaging Spectroscopy, Near-Infrared Robotics Humans
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Theory of Fast Walking With Human-Driven Load-Carrying Robot Exoskeletons.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 22, 2022
Reaching and maintaining high walking speeds is challenging for a human when carrying extra weight, such as walking with a heavy backpack. Robotic limbs can support a heavy backpack when standing still, but accelerating a backpack within a couple of ...
Robotics Walking Speed Humans Weight-Bearing Walking Exoskeleton Device Biomechanical Phenomena
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Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition.

Biosensors Jul 21, 2022
Many studies have explored divergent deep neural networks in human activity recognition (HAR) using a single accelerometer sensor. Multiple types of deep neural networks, such as convolutional neural networks (CNN), long short-term memory (LSTM), or ...
Walking Heuristics Neural Networks, Computer Smartphone Human Activities Humans
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Milli-scale cellular robots that can reconfigure morphologies and behaviors simultaneously.

Nature communications Jul 18, 2022
Modular robot that can reconfigure architectures and functions has advantages in unpredicted environment and task. However, the construction of modular robot at small-scale remains a challenge since the lack of reliable docking and detaching strategi...
Walking Motion Robotics Miniaturization Magnetic Fields
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Adjustable Parameters and the Effectiveness of Adjunct Robot-Assisted Gait Training in Individuals with Chronic Stroke.

International journal of environmental research and public health Jul 4, 2022
The aims of this study were (1) to compare the effect of robot-assisted gait orthosis (RAGO) plus conventional physiotherapy with the effect of conventional therapy alone on functional outcomes, including balance, walking ability, muscle strength, da...
Treatment Outcome Robotics Stroke Rehabilitation Stroke Walking Humans Gait Retrospective Studies Exercise Therapy
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Unsupervised Gait Phase Estimation With Domain-Adversarial Neural Network and Adaptive Window.

IEEE journal of biomedical and health informatics Jul 1, 2022
The performanceof previous machine learning models for gait phase is only satisfactory under limited conditions. First, they produce accurate estimations only when the ground truth of the gait phase (of the target subject) is known. In contrast, when...
Humans Algorithms Walking Neural Networks, Computer Gait Machine Learning
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Reducing the energy cost of walking with low assistance levels through optimized hip flexion assistance from a soft exosuit.

Scientific reports Jun 29, 2022
As we age, humans see natural decreases in muscle force and power which leads to a slower, less efficient gait. Improving mobility for both healthy individuals and those with muscle impairments/weakness has been a goal for exoskeleton designers for d...
Walking Humans Gait Biomechanical Phenomena Exoskeleton Device Robotics Ankle Paresis
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Restorative rehabilitation robotics to promote function, independence and dignity: users' perspectives on clinical applications.

Journal of medical engineering & technology Jun 22, 2022
People with mobility impairments have reported that improving their walking is one of the most important goals of their rehabilitation. Novel robotic technologies using powered exoskeletons for the lower limb could potentially offer efficient and les...
Self-Help Devices Humans Robotics Respect Lower Extremity Walking
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Recent Advances in Bipedal Walking Robots: Review of Gait, Drive, Sensors and Control Systems.

Sensors (Basel, Switzerland) Jun 12, 2022
Currently, there is an intensive development of bipedal walking robots. The most known solutions are based on the use of the principles of human gait created in nature during evolution. Modernbipedal robots are also based on the locomotion manners of...
Gait Locomotion Robotics Walking Artificial Intelligence Prospective Studies Biomechanical Phenomena
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