Novel Virtual Reality Application in Field of Neurorehabilitation

Ku, Jeonghun; Kang, Yong-Woo

doi:10.12786/bn.2018.11.e5

Cited by 3 publications

(1 citation statement)

References 33 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, a more advanced way for us to perceive information called virtual reality (VR) has been product-available in many areas for the past few years. The applications such as creative collaboration [1], military utility [2], bioengineering practice [3], robot, neuromodulation, and BCI [4] have been proposed for the practical usage. At the moment, a head-mounted display (HMD) is often required for a user to achieve immersive experience.…”

Section: Introductionmentioning

confidence: 99%

Impact Analysis of Foveation and Depth on the Perceptual Quality of Immersive Visual Content With Fixed Viewport

Shen

Hsiao

2022

IEEE Access

View full text Add to dashboard Cite

With the rapid development of devices for virtual reality, massive amounts of multimedia data have been produced to enrich the immersive experience. To construct vivid virtual reality, high-resolution content is required to achieve a good user experience. With the limitations of hardware capability, efficient data compression is one of the keys to addressing the current dilemma. In our opinion, visual perception is a promising strategy for addressing this problem. In this study, the impact of human visual perception in immersive environment is studied. Two hypotheses accounting for their impact on the quality of immersive videos at a fixed viewport are proposed and validated by subjective evaluation and analysis. A series of videos are created with various blur distortions based on the stimulus triggered by depth perception and the rapid falloff of acuity in the peripheral vision. Stereoscopic videos with imposed blur distortions arranged with different severities are evaluated subjectively in an immersive viewing environment. We then follow statistical approaches to examine the collected subjective quality distributions to discuss the feasibility of video compression based on processed videos. To improve encoding efficiency, a heuristic mechanism for immersive visual content compression is proposed. We examine a simple compression framework to demonstrate that the proposed hypotheses are applicable for practical video compression.

show abstract

Section: Introductionmentioning

confidence: 99%

Impact Analysis of Foveation and Depth on the Perceptual Quality of Immersive Visual Content With Fixed Viewport

Shen

Hsiao

2022

IEEE Access

View full text Add to dashboard Cite

show abstract

Development of a Virtual Reality Simulator for a Lower Limb Rehabilitation Robot

Covaciu

Pîslă

Vaida

et al. 2020

2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)

View full text Add to dashboard Cite

Impact of Virtual Reality on Brain–Computer Interface Performance in IoT Control—Review of Current State of Knowledge

Piszcz,

Rojek,

Mikołajewski

2024

Applied Sciences

View full text Add to dashboard Cite

This article examines state-of-the-art research into the impact of virtual reality (VR) on brain–computer interface (BCI) performance: how the use of virtual reality can affect brain activity and neural plasticity in ways that can improve the performance of brain–computer interfaces in IoT control, e.g., for smart home purposes. Integrating BCI with VR improves the performance of brain–computer interfaces in IoT control by providing immersive, adaptive training environments that increase signal accuracy and user control. VR offers real-time feedback and simulations that help users refine their interactions with smart home systems, making the interface more intuitive and responsive. This combination ultimately leads to greater independence, efficiency, and ease of use, especially for users with mobility issues, in managing IoT-connected devices. The integration of BCI and VR shows great potential for transformative applications ranging from neurorehabilitation and human–computer interaction to cognitive assessment and personalized therapeutic interventions for a variety of neurological and cognitive disorders. The literature review highlights the significant advances and multifaceted challenges in this rapidly evolving field. Particularly noteworthy is the emphasis on the importance of adaptive signal processing techniques, which are key to enhancing the overall control and immersion experienced by individuals in virtual environments. The value of multimodal integration, in which BCI technology is combined with complementary biosensors such as gaze tracking and motion capture, is also highlighted. The incorporation of advanced artificial intelligence (AI) techniques will revolutionize the way we approach the diagnosis and treatment of neurodegenerative conditions.

show abstract

Novel Virtual Reality Application in Field of Neurorehabilitation

Cited by 3 publications

References 33 publications

Impact Analysis of Foveation and Depth on the Perceptual Quality of Immersive Visual Content With Fixed Viewport

Impact Analysis of Foveation and Depth on the Perceptual Quality of Immersive Visual Content With Fixed Viewport

Development of a Virtual Reality Simulator for a Lower Limb Rehabilitation Robot

Impact of Virtual Reality on Brain–Computer Interface Performance in IoT Control—Review of Current State of Knowledge

Contact Info

Product

Resources

About