3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming

Beveridge, Ryan; Wilson, Shane; Coyle, Damien

doi:10.1016/bs.pbr.2016.06.006

Cited by 17 publications

(8 citation statements)

References 25 publications

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“…Moreover, the SSMVEP induced by different motor paradigm is related to the motion onset visual evoked potentials (mVEP) at the start time of the motion, which reflect the brain's processing mechanism of motion information (Snowden and Freeman, 2004). Beveridge et al demonstrated that the start time of horizontal or radial motions can induce mVEPs (Beveridge et al, 2016). Among these, the expansion and contraction motions are the typical radial motions that are experienced as the relative distance changes along the visual axis, and can produce the greatest response.…”

Section: Introductionmentioning

confidence: 99%

A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials

Chai

Zhang

Guan

et al. 2019

Front. Hum. Neurosci.

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Background: In steady state visual evoked potential (SSVEP)-based brain-computer interfaces, prolonged repeated flicker stimulation would reduce the system performance. To reduce the visual discomfort and fatigue, while ensuring recognition accuracy, and information transmission rate (ITR), a novel motion paradigm based on the steady-state motion visual evoked potentials (SSMVEPs) is proposed. Methods: The novel SSMVEP paradigm of the radial zoom motion was realized using the sinusoidal form to modulate the size of the stimuli. The radial zoom motion-based SSMVEP paradigm was compared with the flicker-based SSVEP paradigm and the SSMVEP paradigm based on Newton's ring motion. The canonical correlation analysis was used to identify the frequency of the eight targets, the recognition accuracy of different paradigms with different stimulation frequencies, and the ITR under different stimulation durations were calculated. The subjective comfort scores and fatigue scores, and decrease in the accuracy due to fatigue was evaluated. Results: The average recognition accuracy of the novel radial zoom motion-based SSMVEP paradigm was 93.4%, and its ITR reached 42.5 bit/min, which was greater than the average recognition accuracy of the SSMVEP paradigm based on Newton's ring motion. The comfort score of the novel paradigm was greater than both the flicker-based SSVEP paradigm and SSMVEP paradigm based on Newton's ring motion. The decrease in the recognition accuracy due to fatigue was less than that of the SSSMVEP paradigm based on Newton's ring motion. Conclusion: The SSMVEP paradigm based on radial zoom motion has high recognition accuracy and ITR with low visual discomfort and fatigue scores. The method has potential advantages in overcoming the performance decline caused by fatigue.

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Section: Introductionmentioning

confidence: 99%

A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials

Chai

Zhang

Guan

et al. 2019

Front. Hum. Neurosci.

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“…For the same reason, SSVEP tasks must also be used with caution with children with disabilities, especially for children with CP who often have visual impairments (Gabis et al, 2015). mVEPs may be a possible alternative to flash-based BCIs and have been applied in BCI spelling applications (Hong et al, 2009) and neurogaming (Beveridge et al, 2016) in adults. Beveridge et al (2017) is the first study that applied mVEP paradigm with children and youth obtaining reasonable online performance at 70% accuracy.…”

Section: Mental Tasks and Brain Signalsmentioning

confidence: 99%

Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review

Orlandi

House

Karlsson

et al. 2021

Front. Hum. Neurosci.

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Brain-computer interfaces (BCIs) represent a new frontier in the effort to maximize the ability of individuals with profound motor impairments to interact and communicate. While much literature points to BCIs' promise as an alternative access pathway, there have historically been few applications involving children and young adults with severe physical disabilities. As research is emerging in this sphere, this article aims to evaluate the current state of translating BCIs to the pediatric population. A systematic review was conducted using the Scopus, PubMed, and Ovid Medline databases. Studies of children and adolescents that reported BCI performance published in English in peer-reviewed journals between 2008 and May 2020 were included. Twelve publications were identified, providing strong evidence for continued research in pediatric BCIs. Research evidence was generally at multiple case study or exploratory study level, with modest sample sizes. Seven studies focused on BCIs for communication and five on mobility. Articles were categorized and grouped based on type of measurement (i.e., non-invasive and invasive), and the type of brain signal (i.e., sensory evoked potentials or movement-related potentials). Strengths and limitations of studies were identified and used to provide requirements for clinical translation of pediatric BCIs. This systematic review presents the state-of-the-art of pediatric BCIs focused on developing advanced technology to support children and youth with communication disabilities or limited manual ability. Despite a few research studies addressing the application of BCIs for communication and mobility in children, results are encouraging and future works should focus on customizable pediatric access technologies based on brain activity.

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“…Motion-onset VEPs (mVEP) are an alternative to flash-based BCIs and evoked using motion-based stimuli. mVEPs have been used in BCI spelling applications [21], user interfaces [22] and neurogaming [23] [24] [25]. Typically, a mVEP stimulus comprises a rectangular white box with a black border with a total length of 1.24° and height of 0.76°.…”

Section: Introductionmentioning

confidence: 99%

“…In a second online evaluation, participants achieved 92% and 96% using 3 and 5 trials, respectively. In our previous work [23], we investigated the effects on mVEP classification performance with users subjected to different video game graphics, ranging from basic to state-of-the-art. Findings demonstrated the feasibility of using state-of-the-art commercial-grade graphics within mVEP-controlled neurogames.…”

Section: Introductionmentioning

confidence: 99%

“…Findings demonstrated the feasibility of using state-of-the-art commercial-grade graphics within mVEP-controlled neurogames. We also evaluated mVEP-based game control in a virtual-reality (VR) environment using an Oculus Rift [31] VR head-mounted display to display a mVEP-based racing game with both basic and complex graphics [23]. Results showed that contemporary visual display technologies could be used in mVEP-based neurogaming without degrading mVEP detection accuracies, compared to a standard LCD monitor.…”

Section: Introductionmentioning

confidence: 99%

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Neurogaming With Motion-Onset Visual Evoked Potentials (mVEPs): Adults Versus Teenagers

Beveridge

Wilson

Callaghan

et al. 2019

IEEE Trans. Neural Syst. Rehabil. Eng.

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Motion-onset visually evoked potentials (mVEPs) are neural potentials that are time-locked to the onset of motion of evoking stimuli. Due to their visually elegant properties, mVEP stimuli may be suited to video game control given gaming's inherent demand on the users' visual attention and the requirement to process rapidly changing visual information. Here, we investigate mVEPs associated with 5 different stimuli to control the position of a car in a visually rich 3D racing game in a group of 15 BCI naïve teenagers and compared to 19 BCI naive adults. Results from an additional 14 BCI experienced adults were compared to BCI naïve adults. Our results demonstrate that game control accuracy is related to the number of trials used to make a decision on the users' chosen button/stimulus (76%, 62% and 35% for 5, 3 and 1 trials, respectively) and information transfer rate (ITR) (13.4, 13.9 and 6.6 bits per minute (BPM)), although, even though accuracy decreases when using three compared to the commonly used five trial repetitions, ITR is maintained. A Kruskal-Wallis test suggests that BCI naïve adults do not outperform BCI naïve teenagers in the 3D racing game in the first and seconds laps (p > 0.05), but do outperform in the third lap (p < 0.05). A comparison between BCI naïve and BCI experienced adults indicates BCI experienced adults do not perform better than BCI naïve adults (p > 0.05).

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3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming

Cited by 17 publications

References 25 publications

A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials

A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials

Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review

Neurogaming With Motion-Onset Visual Evoked Potentials (mVEPs): Adults Versus Teenagers

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