AIMC Topic: Shoes

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Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence.

Science & justice : journal of the Forensic Science Society Jul 1, 2025
Quantitative assessment of pattern evidence is a challenging task, particularly in the context of forensic investigations where the accurate identification of sources and classification of items in evidence are critical. Emerging deep learning approa...
Databases, Factual Deep Learning Algorithms Forensic Sciences Humans Shoes Pattern Recognition, Automated Image Processing, Computer-Assisted
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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...
Machine Learning Female Algorithms Humans Gait Analysis Gait Male Adult Shoes Support Vector Machine
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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...
Shoes Wearable Electronic Devices Human Activities Accelerometry Algorithms Deep Learning Neural Networks, Computer Humans
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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 ...
Humans Neural Networks, Computer Support Vector Machine Walking Male Algorithms Shoes Generative Adversarial Networks Pressure Foot Gait
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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 Adaptation, Physiological Electromyography Pattern Recognition, Automated Knee Joint Female Neural Networks, Computer Sensitivity and Specificity Range of Motion, Articular Ankle Joint Algorithms Humans Adult Reproducibility of Results Gait
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