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View article: Gender and Age-Related Decline in Lower Limb Standing Muscle Strength: Benchmarking for Rehabilitation Assessment
Gender and Age-Related Decline in Lower Limb Standing Muscle Strength: Benchmarking for Rehabilitation Assessment Open
This study aimed to demonstrate a novel sensor-based measuring stand for objective assessment of multi-directional lower limb muscle strength and to establish essential, age- and gender-stratified normative benchmarks. This cross-sectional…
View article: Enhancing Driver Monitoring Systems Based on Novel Multi-Task Fusion Algorithm
Enhancing Driver Monitoring Systems Based on Novel Multi-Task Fusion Algorithm Open
Distracted driving continues to be a major contributor to road accidents, highlighting the growing research interest in advanced driver monitoring systems for enhanced safety. This paper seeks to improve the overall performance and effecti…
View article: A mobile robotic approach to autonomous surface scanning in legal medicine
A mobile robotic approach to autonomous surface scanning in legal medicine Open
Purpose Comprehensive legal medicine documentation includes internal and external examination of the corpse. Typically, this documentation is conducted manually during conventional autopsy. Systematic digital documentation would be desirab…
View article: Comparison of Validity and Reliability of Manual Consensus Grading vs. Automated AI Grading for Diabetic Retinopathy Screening in Oslo, Norway: A Cross-Sectional Pilot Study
Comparison of Validity and Reliability of Manual Consensus Grading vs. Automated AI Grading for Diabetic Retinopathy Screening in Oslo, Norway: A Cross-Sectional Pilot Study Open
Background: Diabetic retinopathy (DR) is a leading cause of visual impairment worldwide. Manual grading of fundus images is the gold standard in DR screening, although it is time-consuming. Artificial intelligence (AI)-based algorithms off…
View article: Occupancy-Based Predictive AI-Driven Ventilation Control for Energy Savings in Office Buildings
Occupancy-Based Predictive AI-Driven Ventilation Control for Energy Savings in Office Buildings Open
Despite stricter global energy codes, performance standards, and advanced renewable technologies, the building sector must accelerate its transition to zero carbon emissions. Many studies show that new buildings, especially non-residential…
View article: Advancements in Remote Photoplethysmography
Advancements in Remote Photoplethysmography Open
Advancements in camera technology over the past two decades have made image-based monitoring increasingly accessible for healthcare applications. Imaging photoplethysmography (iPPG) and remote photoplethysmography (rPPG) are non-invasive m…
View article: A Mobile Robotic Approach to Autonomous Surface Scanning in Legal Medicine
A Mobile Robotic Approach to Autonomous Surface Scanning in Legal Medicine Open
Purpose: Comprehensive legal medicine documentation includes both an internal but also an external examination of the corpse. Typically, this documentation is conducted manually during conventional autopsy. A systematic digital documentati…
View article: Towards Metric-Driven Difference Detection between Receptive and Nonreceptive Endometrial Samples Using Automatic Histology Image Analysis
Towards Metric-Driven Difference Detection between Receptive and Nonreceptive Endometrial Samples Using Automatic Histology Image Analysis Open
This paper presents a technique that can potentially help to determine the receptivity stage of the endometrium from histology images by automatically measuring the stromal nuclear changes. The presented technique is composed of an image s…
View article: Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review
Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review Open
The development of non-contact techniques for monitoring human vital signs has significant potential to improve patient care in diverse settings. By facilitating easier and more convenient monitoring, these techniques can prevent serious h…
View article: A pilot cost-analysis study comparing AI-based EyeArt® and ophthalmologist assessment of diabetic retinopathy in minority women in Oslo, Norway
A pilot cost-analysis study comparing AI-based EyeArt® and ophthalmologist assessment of diabetic retinopathy in minority women in Oslo, Norway Open
Background Diabetic retinopathy (DR) is the leading cause of adult blindness in the working age population worldwide, which can be prevented by early detection. Regular eye examinations are recommended and crucial for detecting sight-threa…
View article: Physical and Chemical Characteristics of Droppings as Sensitive Markers of Chicken Health Status
Physical and Chemical Characteristics of Droppings as Sensitive Markers of Chicken Health Status Open
The aim of this study was to analyze the physical and chemical characteristics of chicken droppings (n = 73), which were collected during different age periods and classified by visual inspection into normal (N) and abnormal (A). Significa…
View article: Analysis of Training Data Augmentation for Diabetic Foot Ulcer Semantic Segmentation
Analysis of Training Data Augmentation for Diabetic Foot Ulcer Semantic Segmentation Open
Deep learning model training and achieved performance relies on available data. Diabetic foot ulcers and other image processing applications in the medical domain add another layer of complexity to training data collection. Data collection…
View article: Towards Early Poultry Health Prediction through Non-Invasive and Computer Vision-Based Dropping Classification
Towards Early Poultry Health Prediction through Non-Invasive and Computer Vision-Based Dropping Classification Open
The use of artificial intelligence techniques with advanced computer vision techniques offers great potential for non-invasive health assessments in the poultry industry. Evaluating the condition of poultry by monitoring their droppings ca…
View article: Accuracy of a Smartphone-Based Artificial Intelligence Application for Classification of Melanomas, Melanocytic Nevi, and Seborrheic Keratoses
Accuracy of a Smartphone-Based Artificial Intelligence Application for Classification of Melanomas, Melanocytic Nevi, and Seborrheic Keratoses Open
Current artificial intelligence algorithms can classify melanomas at a level equivalent to that of experienced dermatologists. The objective of this study was to assess the accuracy of a smartphone-based “You Only Look Once” neural network…
View article: BiomacEMG: A Pareto-Optimized System for Assessing and Recognizing Hand Movement to Track Rehabilitation Progress
BiomacEMG: A Pareto-Optimized System for Assessing and Recognizing Hand Movement to Track Rehabilitation Progress Open
One of the most difficult components of stroke therapy is regaining hand mobility. This research describes a preliminary approach to robot-assisted hand motion therapy. Our objectives were twofold: First, we used machine learning approache…
View article: Towards Home-Based Diabetic Foot Ulcer Monitoring: A Systematic Review
Towards Home-Based Diabetic Foot Ulcer Monitoring: A Systematic Review Open
It is considered that 1 in 10 adults worldwide have diabetes. Diabetic foot ulcers are some of the most common complications of diabetes, and they are associated with a high risk of lower-limb amputation and, as a result, reduced life expe…
View article: Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method
Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method Open
In this study, a novel method for automatic microaneurysm detection in color fundus images is presented. The proposed method is based on three main steps: (1) image breakdown to smaller image patches, (2) inference to segmentation models, …
View article: ANN Hybrid Model for Forecasting Landfill Waste Potential in Lithuania
ANN Hybrid Model for Forecasting Landfill Waste Potential in Lithuania Open
Waste management is currently a fast-growing environmental business and one of solutions to manage the huge amount of waste being generated on landfills is to use the disposed waste as an energy source. There is a major focus on energy for…
View article: Efficient Violence Detection in Surveillance
Efficient Violence Detection in Surveillance Open
Intelligent video surveillance systems are rapidly being introduced to public places. The adoption of computer vision and machine learning techniques enables various applications for collected video features; one of the major is safety mon…
View article: Mobile Robots’ Collision Prediction Based on Virtual Cocoons
Mobile Robots’ Collision Prediction Based on Virtual Cocoons Open
The research work presents a collision prediction method of mobile robots. The authors of the work use so-called, virtual cocoons to evaluate the collision criteria of two robots. The idea, mathematical representation of the calculations a…
View article: Fast Multi-Focus Fusion Based on Deep Learning for Early-Stage Embryo Image Enhancement
Fast Multi-Focus Fusion Based on Deep Learning for Early-Stage Embryo Image Enhancement Open
Background: Cell detection and counting is of essential importance in evaluating the quality of early-stage embryo. Full automation of this process remains a challenging task due to different cell size, shape, the presence of incomplete ce…
View article: Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination
Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination Open
We propose a deep learning method based on the Region Based Convolutional Neural Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen videos. The neural network performs the segmentation of sperm heads, wh…
View article: Towards the automation of early-stage human embryo development detection
Towards the automation of early-stage human embryo development detection Open
Background Infertility and subfertility affect a significant proportion of humanity. Assisted reproductive technology has been proven capable of alleviating infertility issues. In vitro fertilisation is one such option whose success is hig…
View article: Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning
Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning Open
In the lumber and wood processing industry, most visual quality inspections are still done by trained human operators. Visual inspection is a tedious and repetitive task that involves a high likelihood of human error. Currently, new automa…
View article: HEMIGEN: Human Embryo Image Generator Based on Generative Adversarial Networks
HEMIGEN: Human Embryo Image Generator Based on Generative Adversarial Networks Open
We propose a method for generating the synthetic images of human embryo cells that could later be used for classification, analysis, and training, thus resulting in the creation of new synthetic image datasets for research areas lacking re…
View article: Recognition of basketball referee signals from videos using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM)
Recognition of basketball referee signals from videos using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) Open
Hand gestures, either static or dynamic, for human computer interaction in real time systems is an area of active research and with many possible applications. However, vision-based hand gesture interfaces for real-time applications requir…
View article: APPLICATION OF NUMERICAL INTELLIGENCE METHODS FOR THE AUTOMATIC QUALITY GRADING OF AN EMBRYO DEVELOPMENT
APPLICATION OF NUMERICAL INTELLIGENCE METHODS FOR THE AUTOMATIC QUALITY GRADING OF AN EMBRYO DEVELOPMENT Open
In vitro fertilization – a procedure which aims to get the embryo to adapt the methods of "oocyte" fertilized sperm outside the human body. At the end of this procedure there are several embryos. This paper represents overview of tracking-…
View article: Are you ashamed? Can a gaze tracker tell?
Are you ashamed? Can a gaze tracker tell? Open
Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a se…