AIMC Topic: Foot
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Automatic Classification of Gait Impairments Using a Markerless 2D Video-Based System.
Sensors (Basel, Switzerland)
Aug 21, 2018
Systemic disorders affecting an individual can cause gait impairments. Successful acquisition and evaluation of features representing such impairments make it possible to estimate the severity of those disorders, which is important information for mo...
Gait Estimation from Anatomical Foot Parameters Measured by a Foot Feature Measurement System using a Deep Neural Network Model.
Scientific reports
Jun 29, 2018
An accurate and credible measurement of human gait is essential in multiple areas of medical science and rehabilitation. Yet, the methods currently available are not only arduous but also costly. Researchers who investigated the relationship between ...
Acral melanoma detection using a convolutional neural network for dermoscopy images.
PloS one
Mar 7, 2018
BACKGROUND/PURPOSE: Acral melanoma is the most common type of melanoma in Asians, and usually results in a poor prognosis due to late diagnosis. We applied a convolutional neural network to dermoscopy images of acral melanoma and benign nevi on the h...
Bipedal robotic walking control derived from analysis of human locomotion.
Biological cybernetics
Feb 5, 2018
This paper proposes the design of a bipedal robotic controller where the function between the sensory input and motor output is treated as a black box derived from human data. In order to achieve this, we investigated the causal relationship between ...
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks.
IEEE transactions on pattern analysis and machine intelligence
Jan 30, 2018
Human footsteps can provide a unique behavioural pattern for robust biometric systems. We propose spatio-temporal footstep representations from floor-only sensor data in advanced computational models for automatic biometric verification. Our models d...
Reactive balance control in older adults with diabetes.
Gait & posture
Dec 30, 2017
Diabetes mellitus is a major health problem for older adults worldwide and could be associated with impaired ability to recover balance after postural disturbances. This study compared reactive balance control in three groups of adults, young (YA), h...
A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System.
IEEE transactions on bio-medical engineering
Aug 24, 2017
OBJECTIVE: Gait analysis of animal disease models can provide valuable insights into in vivo compound effects and thus help in preclinical drug development. The purpose of this paper is to establish a computational gait analysis approach for the Nold...
Continuous sweep versus discrete step protocols for studying effects of wearable robot assistance magnitude.
Journal of neuroengineering and rehabilitation
Jul 12, 2017
BACKGROUND: Different groups developed wearable robots for walking assistance, but there is still a need for methods to quickly tune actuation parameters for each robot and population or sometimes even for individual users. Protocols where parameters...
Predictive Behavior of a Computational Foot/Ankle Model through Artificial Neural Networks.
Computational and mathematical methods in medicine
Jan 30, 2017
Computational models are useful tools to study the biomechanics of human joints. Their predictive performance is heavily dependent on bony anatomy and soft tissue properties. Imaging data provides anatomical requirements while approximate tissue prop...
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.
IEEE journal of biomedical and health informatics
Dec 8, 2016
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double-integration approaches to extract these parameters from inertial sensor data are, however, limited in their...
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