AIMC Topic: Walking

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Vision-Based Recognition of Human Motion Intent during Staircase Approaching.

Sensors (Basel, Switzerland) Jun 5, 2023
Walking in real-world environments involves constant decision-making, e.g., when approaching a staircase, an individual decides whether to engage (climbing the stairs) or avoid. For the control of assistive robots (e.g., robotic lower-limb prostheses...
Humans Robotics Walking Intention
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Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach.

IEEE journal of biomedical and health informatics Jun 5, 2023
Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide important clinical information and can be used to control assistive devices. Traditionally, collection of kinetics is mostly limited to the lab environment becau...
Humans Biomechanical Phenomena Knee Joint Walking Gait Deep Learning Lower Extremity
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Clustering trunk movements of children and adolescents with neurological gait disorders undergoing robot-assisted gait therapy: the functional ability determines if actuated pelvis movements are clinically useful.

Journal of neuroengineering and rehabilitation Jun 3, 2023
INTRODUCTION: Robot-assisted gait therapy is frequently used for gait therapy in children and adolescents but has been shown to limit the physiological excursions of the trunk and pelvis. Actuated pelvis movements might support more physiological tru...
Nervous System Diseases Movement Biomechanical Phenomena Child Humans Adolescent Pelvis Walking Robotics Gait
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WARNING: A Wearable Inertial-Based Sensor Integrated with a Support Vector Machine Algorithm for the Identification of Faults during Race Walking.

Sensors (Basel, Switzerland) May 31, 2023
Due to subjectivity in refereeing, the results of race walking are often questioned. To overcome this limitation, artificial-intelligence-based technologies have demonstrated their potential. The paper aims at presenting WARNING, an inertial-based we...
Wearable Electronic Devices Artificial Intelligence Support Vector Machine Walking Humans Algorithms
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Exoskeleton Training Modulates Complexity in Movement Patterns and Cortical Activity in Able-Bodied Volunteers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 25, 2023
Robot-aided gait training (RAGT) plays a crucial role in providing high-dose and high-intensity task-oriented physical therapy. The human-robot interaction during RAGT remains technically challenging. To achieve this aim, it is necessary to quantify ...
Gait Robotics Exoskeleton Device Humans Walking Middle Aged Exercise Therapy Volunteers
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Spatiotemporal Compliance Control for a Wearable Lower Limb Rehabilitation Robot.

IEEE transactions on bio-medical engineering May 19, 2023
Compliance control is crucial for physical human-robot interaction, which can enhance the safety and comfort of robot-assisted rehabilitation. In this study, we designed a spatiotemporal compliance control strategy for a new self-designed wearable lo...
Robotics Walking Wearable Electronic Devices Lower Extremity Gait Exercise Therapy Humans Neural Networks, Computer
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Automated Implementation of the Edinburgh Visual Gait Score (EVGS) Using OpenPose and Handheld Smartphone Video.

Sensors (Basel, Switzerland) May 17, 2023
Recent advancements in computing and artificial intelligence (AI) make it possible to quantitatively evaluate human movement using digital video, thereby opening the possibility of more accessible gait analysis. The Edinburgh Visual Gait Score (EVGS)...
Humans Artificial Intelligence Walking Gait Smartphone Gait Analysis
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Optimizing Representations of Multiple Simultaneous Attributes for Gait Generation Using Deep Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 17, 2023
Rich variations in gait are generated according to several attributes of the individual and environment, such as age, athleticism, terrain, speed, personal "style", mood, etc. The effects of these attributes can be hard to quantify explicitly, but re...
Deep Learning Walking Humans Neural Networks, Computer Gait Walking Speed
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Exercise with a wearable hip-assist robot improved physical function and walking efficiency in older adults.

Scientific reports May 4, 2023
Wearable assistive robotics has emerged as a promising technology to supplement or replace motor functions and to retrain people recovering from an injury or living with reduced mobility. We developed delayed output feedback control for a wearable hi...
Gait Exercise Therapy Robotics Walking Exercise Wearable Electronic Devices Humans Aged
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Estimating individual minimum calibration for deep-learning with predictive performance recovery: An example case of gait surface classification from wearable sensor gait data.

Journal of biomechanics Apr 30, 2023
Clinical datasets often comprise multiple data points or trials sampled from a single participant. When these datasets are used to train machine learning models, the method used to extract train and test sets must be carefully chosen. Using the stand...
Gait Wearable Electronic Devices Calibration Humans Walking Adult Deep Learning
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