This paper presents a mathematical model that can be used to virtually reconstruct the posture of the human spine. By using orientation angles from a wearable monitoring system based on inertial sensors, the model calculates and represents the curvature of the spine. Several hypotheses are taken into consideration to increase the model precision. An estimation of the postures that can be calculated is also presented. A non-invasive solution to identify the human back shape can help reducing the time needed for medical rehabilitation sessions. Moreover, it prevents future problems caused by poor posture.

Surgical robots, including those for brachytherapy procedure, require preoperative registration prior to use for needle placement procedures. Using a virtual environment for programming the needles trajectories allows a safer procedure for robotic brachytherapy, by avoiding vital structures and providing efficient penetration placement of radioactive seeds. In this paper is proposed a methodology based on Virtual Reality (VR) technologies that can be used to generate and optimize the needle trajectory in the pre-planning stage of the robotic brachytherapy procedure.

Virtual reality (VR) driving simulators are very promising tools for driver assessment since they provide a controlled and adaptable setting for behavior analysis. At the same time, wearable sensor technology provides a well-suited and valuable approach to evaluating the behavior of drivers and their physiological or psychological state. This review paper investigates the potential of wearable sensors in VR driving simulators. Methods: A literature search was performed on four databases (Scopus, Web of Science, Science Direct, and IEEE Xplore) using appropriate search terms to retrieve scientific articles from a period of eleven years, from 2013 to 2023. Results: After removing duplicates and irrelevant papers, 44 studies were selected for analysis. Some important aspects were extracted and presented: the number of publications per year, countries of publication, the source of publications, study aims, characteristics of the participants, and types of wearable sensors. Moreover, an analysis and discussion of different aspects are provided. To improve car simulators that use virtual reality technologies and boost the effectiveness of particular driver training programs, data from the studies included in this systematic review and those scheduled for the upcoming years may be of interest.

Over the last decade, there have been intense concerns at the European and global level regarding the recovery, protection, and promotion of cultural heritage in various forms: monuments, historical sites, artifacts, cultural expressions. The world is becoming more and more aware of the loss of honor elements of cultural heritage due to the passage of time, natural or man-made disasters, negligence, and improper conservation. This paper aims to develop a tool to improve the visibility of elements that may become rare in everyday life over the coming years, becoming elements of cultural heritage. The paper refers to a haptic system for simulating kinematic and dynamic operating conditions based on an articulated mechanism, more precisely, the simulation of the operation of a manual saw as a carpentry tool, visualizing the sawing maneuver and increasing the level of understanding of the operation by the possibility of modifying the working parameters. In the developed virtual reality environment, the user’s perception can benefit by evoking two of their senses—the user can see the operation of the hand saw and can feel the manual process of cutting wood. User studies were carried out to evaluate the usability and performance of the virtual reality application. In two test scenarios, 20 people gave positive feedback in using custom-made haptic devices for various categories (engagement, manipulability, enjoyment, realism, usability, overall experience).

This paper explores the use of driver-in-the-loop simulations to detect personalized driving styles in autonomous vehicles. The driving simulator used in this study is modular and adaptable, allowing for the testing and validation of control and data-collecting systems, as well as the incorporation and proof of car models. The selected scenario is a double lane change maneuver to overtake a stationary obstacle at a relatively high speed. The user’s behavior was recorded, and lateral accelerations during the maneuver were used as criteria to compare the user-driven vehicle and the autonomous one. The tuning parameters of the lateral and longitudinal controllers were modified to obtain different lateral accelerations of the autonomous vehicle. A neural network was developed to find the combination of the two controllers’ tuning parameters to match the driver’s lateral accelerations in the same double lane change overtaking action. The results are promising, and this study suggests that driver-in-the-loop simulations can help increase autonomous vehicles’ safety while preserving individual driving styles. This could result in creating more individualized and secure autonomous driving systems that consider the preferences and behavior of the driver.

Preserving the past is an important task of the current generation because of the rapid changes that influence our society. There are certain objects or traditions that make us feel as though we are part of something and—a country, a way of life. The term ‘cultural heritage’ has seen many changes over the last decades and can be evaluated from a tangible or intangible point of view. Since the beginning of the 21st century, the recognition and protection of intangible cultural heritage (ICH) has seen an increased importance. ICH includes goods that can express the idiosyncrasy of certain groups, represent a specific skill, or tradition. This paper presents a working methodology on a structured approach to ICH elements, as well as a case study of such an object. At the same time, this paper proposes a new method of artifacts research, an approach that brings, in addition to engineering, expertise from several fields: Mechanics, construction, material resistance, flow of fluids, heat transfer, ICT, and virtual reality.