Applicability and evaluation of the GestureChair virtual game: comparison between people with and without spinal cord injury

Abstract

Introduction: Spinal cord injury rehabilitation requires updating from professionals regarding the possible interventions that can enhance recovery. Virtual reality (VR) games have become evident as a resource used in the rehabilitation process. Their effectiveness is based on the theory of neuronal reorganization, mediated by mirror neurons, responsible for motor imagery. Objectives: To test the applicability and evaluation of the virtual game Gesture Chair by people with and without spinal cord injury, to identify users' perceptions about the characteristics and demands of the VR game after its use and compare the immediate effects of the game on motor performance components in both groups. Method: We analyzed upper limb range of motion (ROM) after performing a practice using the exergame in a sample of five subjects with spinal cord injury and a comparative group with five other participants. The game was applied for 15 minutes, counting periods of activity and rest, while the subject remained seated. Results: The number of subjects in the sample does not allow statistically significant results on changes in shoulder ROM; however, factors that interfered with performance, perceptions about initial contact with the activity, presence of muscular fatigue and pain that may be present related to the increase of energy expenditure during the action were identified. Regarding the interest, there were reports of demotivation and disinterest, but there were also reports considering the activity motivating. Conclusion: The study implies the importance of the process of choosing individualized resources during the rehabilitation process and the need for adaptation among users of novel technologies. Future studies will be able to analyze the enhancement of the game with different users.

Virtual and Augmented Reality for Neurofunctional Recovery and Human Movement Analysis

“…Such initiatives include developing gesture recognition technologies from computer vision (body scanner) and sensing technologies (ultrasound and inertial units) (Figure 3). They aim to control (by gestural interaction) augmented and virtual reality interfaces with gerontology [13] (mental health) applications and neurofunctional recovery therapies [2,8,10,11,18] not limited to those specialities or pathologies. Also, contributing to training kinesiology specialists with assistive technologies related to virtual reality, especially in physiotherapy, occupational therapy, physical education and medicine (orthopaedics and physiatrics) courses.…”