Flexible Virtual Reality System for Neurorehabilitation and Quality of Life Improvement

Abstract

As life expectancy is mostly increasing, the incidence of many neurological disorders is also constantly growing. For improving the physical functions affected by a neurological disorder, rehabilitation procedures are mandatory, and they must be performed regularly. Unfortunately, neurorehabilitation procedures have disadvantages in terms of costs, accessibility and a lack of therapists. This paper presents Immersive Neurorehabilitation Exercises Using Virtual Reality (INREX-VR), our innovative immersive neurorehabilitation system using virtual reality. The system is based on a thorough research methodology and is able to capture real-time user movements and evaluate joint mobility for both upper and lower limbs, record training sessions and save electromyography data. The use of the first-person perspective increases immersion, and the joint range of motion is calculated with the help of both the HTC Vive system and inverse kinematics principles applied on skeleton rigs. Tutorial exercises are demonstrated by a virtual therapist, as they were recorded with real-life physicians, and sessions can be monitored and configured through tele-medicine. Complex movements are practiced in gamified settings, encouraging self-improvement and competition. Finally, we proposed a training plan and preliminary tests which show promising results in terms of accuracy and user feedback. As future developments, we plan to improve the system’s accuracy and investigate a wireless alternative based on neural networks.

A Metaverse: Taxonomy, Components, Applications, and Open Challenges

“…As much as payment and personal information are widely used in Metaverse, a game based on blockchain technology has been proposed [52]. Hide and Seek is a simple yet effective simulation environment for multi-agent work that uses visual representations of objects and scenes from an egocentric perspective [210][211][212][213]. Baker et al [210] found that agents create a self-supervised automation curriculum that drives new strategies of multiple stages in a multi-agent competitive environment (i.e., hide and seek).…”

“…Baker et al [210] found that agents create a self-supervised automation curriculum that drives new strategies of multiple stages in a multi-agent competitive environment (i.e., hide and seek). Stanica et al [213] Introduced Neurorehabilitation Exercises Using Virtual Reality (INREX-VR), an immersive neurorehabilitation system using virtual reality. They capture real-time user movements in gamified environments and execute complex movements to encourage self-improvement and competition.…”

Research on Badminton Player’s Step Training Model Based on Big Data and IoT Networks

“…Here, a formula is used to evaluate the clustering characteristics of the feature quantity, where P(O (m) |λ) is the number of clusters; P m is the total number of hitting action categories; β (m) t Represents the number of actions of class t recognized as class m, and the formula α (m) t represents the average clustering characteristic value. e recognition process of badminton action is to extract the observation sequence of the current hitting action through the preprocessing algorithm as is the input of each established hitting action hidden Markov model and use the Viterbi algorithm to obtain the occurrence probability of the best state sequence of the current hitting action under each model [11]. e recognition result of the present observation sequence is the striking action that corresponds to the model with the highest likelihood of producing the desired output result.…”

Assessment of the Relevance and Reliability of Reaction Time Tests Performed in Immersive Virtual Reality by Mixed Martial Arts Fighters

“…Therefore, VR allows participants to experience simulated digital realities similar to those of physical reality, thus creating scenarios that are impossible to experience in the real world [4]. This newly created technology is increasingly applied in various areas of life, such as industry [5], medicine, rehabilitation and healthcare [6][7][8][9][10][11] or education [12,13]. The potential of this technology has also recently been noticed in the context of health-promoting physical activity [14][15][16][17][18], its application for physical education [19], cognitive functions training [20,21], as well as various applications in sport, among which virtual training and performance analysis are the most frequently quoted [22,23].…”