This paper investigates the usability of touch screens used in mass production road vehicles. Our goal is to provide a detailed comparison of conventional physical buttons and capacitive touch screens taking the human factor into account. The pilot test focuses on a specific Non-driving Related Task (NDRT): the control of the on-board climate system using a touch screen panel versus rotating knobs and push buttons. Psychological parameters, functionality, usability and, the ergonomics of In-Vehicle Information Systems (IVIS) were evaluated using a specific questionnaire, a system usability scale (SUS), workload assessment (NASA-TLX), and a physiological sensor system. The measurements are based on a wearable eye-tracker that provides fixation points of the driver’s gaze in order to detect distraction. The closed road used for the naturalistic driving study was provided by the ZalaZONE Test Track, Zalaegerszeg, Hungary. Objective and subjective results of the pilot study indicate that the control of touch screen panels causes higher visual, manual, and cognitive distraction than the use of physical buttons. The statistical analysis demonstrated that conventional techniques need to be complemented in order to better represent human behavior differences.

This research introduces a new approach for detecting mobile phone use by drivers, exploiting the capabilities of Kolmogorov-Arnold Networks (KAN) to improve road safety and comply with regulations prohibiting phone use while driving. To address the lack of available data for this specific task, a unique dataset was constructed consisting of images of bus drivers in two scenarios: driving without phone interaction and driving while on a phone call. This dataset provides the basis for the current research. Different KAN-based networks were developed for custom action recognition tailored to the nuanced task of identifying drivers holding phones. The system’s performance was evaluated against convolutional neural network-based solutions, and differences in accuracy and robustness were observed. The aim was to propose an appropriate solution for professional Driver Monitoring Systems (DMS) in research and development and to investigate the efficiency of KAN solutions for this specific sub-task. The implications of this work extend beyond enforcement, providing a foundational technology for automating monitoring and improving safety protocols in the commercial and public transport sectors. In conclusion, this study demonstrates the efficacy of KAN network layers in neural network designs for driver monitoring applications.

DNA profiling has become one of the most important and significant tools of criminal investigation. By proper use critical and decisive information can be provided about a perpetrator. Usage of DNA test results for forensic purposes began the 1990’s in Hungary. The aim of this study is to provide an overview of this eventful period. Due to its extent the paper is published in two parts. This first part presents the most important cases and the development of the technology.

Monitoring bus driver behavior and posture in urban public transport’s dynamic and unpredictable environment requires robust real-time analytics systems. Traditional camera-based systems that use computer vision techniques for facial recognition are foundational. However, they often struggle with real-world challenges such as sudden driver movements, active driver–passenger interactions, variations in lighting, and physical obstructions. Our investigation covers four different neural network architectures, including two variations of convolutional neural networks (CNNs) that form the comparative baseline. The capsule network (CapsNet) developed by our team has been shown to be superior in terms of efficiency and speed in facial recognition tasks compared to traditional models. It offers a new approach for rapidly and accurately detecting a driver’s head position within the wide-angled view of the bus driver’s cabin. This research demonstrates the potential of CapsNets in driver head and face detection and lays the foundation for integrating CapsNet-based solutions into real-time monitoring systems to enhance public transportation safety protocols.

DNA profiling has become one of the most significant tools of criminal investigation. By professional good practice critical and decisive information can be provided about a perpetrator. Usage of DNA test results for forensic purposes in Hungary started in the 1990’s. The aim of this study is to provide an overview of this eventful period. The study is divided into two parts. This part illustrates the current technical status and possible ways of future development, further the changes in legal regulation of forensic DNA tests.

Introduction: In our study, based on the data of the last 25 years, we analyzed the changes in the cash benefits paid to people with reduced working capacity, currently accounting for nearly 30% of the budget of the National Health Insurance Fund of Hungary. Aim: The purpose of our study is to compare the statistical data of the past 25 years and the changes in the legal environment. Methods: Our research was based on the data series of the National Health Insurance Fund of Hungary and the Hungarian Central Statistical Office as well as on the public finance reports of the State Audit Office of Hungary and the Ministry for National Economy. For the period under review, we analyzed the extent of the cash benefits paid to people with reduced working capacity, the measures taken to reduce these benefits, and the related legal background. In the long term, we examined the relevant dimension of the complex sociological processes in the background as well as the medical evaluation of the changed working ability. Results: In the last 25 years, benefits (annuity, retirement) paid under different denominations (disability, work ability reduction, health impairment, rehabilitation benefit) are still a decisive part of the health insurance budget (HUF 315 billion in 2016). Serious efforts have been made to replace the previously funded system of invalidity pension and annuity system, with the complex medical, occupational, and social rehabilitation, maintenance and improvement of the remaining state of health. The purpose of the measures is essentially to reduce budget expenditures and to improve the utilization of the amount paid on rehabilitation benefits. Conclusion: The sociological changes that occurred during the long period of time regrettably helped to initially increase the number of recipients of invalidity benefits, to stabilize them at a high level and to have a significant burden on the budget. This could not be counterbalanced by the rehabilitation approach of money supply either.