AIMC Topic: Shoes

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Defining functional groups based on running kinematics using Self-Organizing Maps and Support Vector Machines.

Journal of biomechanics Mar 20, 2015
A functional group is a collection of individuals who react in a similar way to a specific intervention/product such as a sport shoe. Matching footwear features to a functional group can possibly enhance footwear-related comfort, improve running perf...
Shoes Support Vector Machine Age Factors Middle Aged Adolescent Young Adult Adult Female Biomechanical Phenomena Aged Male Running Sex Factors Consumer Behavior Movement Humans
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Classification of Abnormal Gaits with Machine Learning Algorithms using Sensor-Inherited Insoles.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The digital health industry's interest in gait analysis has driven research into sensor-enabled insoles for practical, everyday gait monitoring. Traditional methods, such as 3D motion capture systems, are costly and time-consuming. To address this, w...
Gait Analysis Shoes Support Vector Machine Gait Algorithms Female Adult Male Humans Machine Learning
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Deep Learning-Based Subject Independent Human Activity Recognition using Smart Lacelock Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Human Activity Recognition (HAR) field is rapidly growing and the classification of human activities based on sensor data is crucial for applications in healthcare, rehabilitation and numerous other sectors. In this paper we use a novel device and at...
Algorithms Deep Learning Humans Neural Networks, Computer Shoes Accelerometry Human Activities Wearable Electronic Devices
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StepGAN: Gait Feature Extraction Using Generative Adversarial Networks for Footstep Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Pressure recordings of footsteps during walking can offer a convenient biometric recognition method for applications in security, forensic analysis, and health monitoring. However, footsteps can exhibit high variability due to a complex interplay of ...
Walking Gait Humans Male Neural Networks, Computer Support Vector Machine Algorithms Shoes Generative Adversarial Networks Pressure Foot
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Gait features analysis using artificial neural networks - testing the footwear effect.

Acta of bioengineering and biomechanics Jan 1, 2017
PURPOSE: The aim of this paper is to provide the methods for automatic detection of the difference in gait features depending on a footwear.
Shoes Algorithms Female Reproducibility of Results Adult Range of Motion, Articular Humans Knee Joint Pattern Recognition, Automated Neural Networks, Computer Ankle Joint Gait Sensitivity and Specificity Adaptation, Physiological Electromyography
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