AIMC Topic: Walking

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Effect of hip abduction assistance on metabolic cost and balance during human walking.

Science robotics Oct 25, 2023
The use of wearable robots to provide walking assistance has rapidly grown over the past decade, with notable advances made in robot design and control methods toward reducing physical effort while performing an activity. The reduction in walking eff...
Gait Hip Joint Robotics Walking Humans Biomechanical Phenomena
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Integrating street view images and deep learning to explore the association between human perceptions of the built environment and cardiovascular disease in older adults.

Social science & medicine (1982) Oct 11, 2023
Understanding how built environment attributes affect health remains important. While many studies have explored the objective characteristics of built environments that affect health outcomes, few have examined the role of human perceptions of built...
Humans Deep Learning Residence Characteristics Environment Design Built Environment Aged Walking Cardiovascular Diseases
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Plantar somatosensory restoration enhances gait, speed perception, and motor adaptation.

Science robotics Oct 11, 2023
Lower limb loss is a major insult to the body's nervous and musculoskeletal systems. Despite technological advances in prosthesis design, artificial limbs are not yet integrated into the body's physiological systems. Therefore, lower limb amputees (L...
Walking Gait Perception Biomechanical Phenomena Robotics
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A Learning-Free Method for Locomotion Mode Prediction by Terrain Reconstruction and Visual-Inertial Odometry.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 11, 2023
This research introduces a novel, highly precise, and learning-free approach to locomotion mode prediction, a technique with potential for broad applications in the field of lower-limb wearable robotics. This study represents the pioneering effort to...
Humans Walking Learning Locomotion Lower Extremity Robotics
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A Fuzzy Clustering Approach to Identify Pedestrians' Traffic Behavior Patterns.

Journal of research in health sciences Sep 29, 2023
BACKGROUND: Pattern recognition of pedestrians' traffic behavior can enhance the management efficiency of interested groups by targeting access to them and facilitating planning via more specific surveys. This study aimed to evaluate the pedestrians'...
Surveys and Questionnaires Accidents, Traffic Cross-Sectional Studies Safety Cluster Analysis Walking Male Humans Pedestrians Adult
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Walking and falling: Using robot simulations to model the role of errors in infant walking.

Developmental science Sep 26, 2023
What is the optimal penalty for errors in infant skill learning? Behavioral analyses indicate that errors are frequent but trivial as infants acquire foundational skills. In learning to walk, for example, falling is commonplace but appears to incur o...
Learning Infant Humans Walking Accidental Falls Generalization, Psychological Robotics
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Assessing walking ability using a robotic gait trainer: opportunities and limitations of assist-as-needed control in spinal cord injury.

Journal of neuroengineering and rehabilitation Sep 21, 2023
BACKGROUND: Walking impairments are a common consequence of neurological disorders and are assessed with clinical scores that suffer from several limitations. Robot-assisted locomotor training is becoming an established clinical practice. Besides tra...
Gait Spinal Cord Injuries Humans Reproducibility of Results Robotic Surgical Procedures Walking Robotics
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Effect of exoskeleton robot-assisted training on gait function in chronic stroke survivors: a systematic review of randomised controlled trials.

BMJ open Sep 14, 2023
OBJECTIVES: Numbers of research have reported the usage of robot-assisted gait training for walking restoration post-stroke. However, no consistent conclusion has been reached yet about the efficacy of exoskeleton robot-assisted training (ERAT) on ga...
Exoskeleton Device Gait Checklist Male Middle Aged Robotics Walking Humans Female
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Using Deep Learning Models to Predict Prosthetic Ankle Torque.

Sensors (Basel, Switzerland) Sep 6, 2023
Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kinetic data. However, this method is time-intensive, limited to a gait laboratory setting, and requires a large array of reflective markers to be attached ...
Ankle Joint Ankle Biomechanical Phenomena Gait Deep Learning Torque Walking
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Structure-based prediction of nucleic acid binding residues by merging deep learning- and template-based approaches.

PLoS computational biology Sep 6, 2023
Accurate prediction of nucleic binding residues is essential for the understanding of transcription and translation processes. Integration of feature- and template-based strategies could improve the prediction of these key residues in proteins. Never...
Algorithms Cell Nucleus Nucleic Acids Deep Learning Walking
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