PhysioHMD

Bernal, Guillermo; Yang, Tao; Jain, Abhinandan; Maes, Pattie

doi:10.1145/3267242.3267268

Cited by 47 publications

(4 citation statements)

References 20 publications

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“…Other projects like Emotional Beasts allowed the exploration of the user's self-expression in VR space by transforming the appearance of the avatar in an artistic way based on the user's affective state, thereby pulling the avatar design away from the uncanny valley problem and making it more expressive and more relatable (Bernal and Maes, 2017). Through the use of VR headsets that have been altered to accommodate physiological sensors (Bernal et al, 2018), the system collects and integrates physiological data to enable the perception of human affect. Bernal et al showed how the PhysioHMD system can be used to help develop personalized phobia treatment by creating a closed loop experience.…”

Section: Change In Perspectivementioning

confidence: 99%

Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-being) Applications

2022

Frontiers Research Topics

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Frontiers is more than just an open-access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers Journal SeriesThe Frontiers Journal Series is a multi-tier and interdisciplinary set of open-access, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers Journal Series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to QualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation.

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Section: Change In Perspectivementioning

confidence: 99%

Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-being) Applications

2022

Frontiers Research Topics

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Section: Change In Perspectivementioning

confidence: 99%

“…A closed-loop system that monitors the user's reactions to the content of a virtual environment enables the generation of personalized virtual reality experiences. Demonstrations like those shown by Bernal et al in Figure 7 use arousal levels to provide real-time, reliable information about the user's reception of the content and can help the system adapt the content seamlessly (Bernal et al, 2018). In a 360 video demo player scene, they used gaze data and Skin Conductance Response (SCR) data to increase the user's arousal levels by modulating a shader's occlusion superimposed on the 360 scene in order to create the fear of the unknown.…”

Section: Closed Loopsmentioning

confidence: 99%

Brain-Computer Interfaces, Open-Source, and Democratizing the Future of Augmented Consciousness

Bernal

Montgomery

Maes

2021

Front. Comput. Sci.

Self Cite

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Accessibility, adaptability, and transparency of Brain-Computer Interface (BCI) tools and the data they collect will likely impact how we collectively navigate a new digital age. This discussion reviews some of the diverse and transdisciplinary applications of BCI technology and draws speculative inferences about the ways in which BCI tools, combined with machine learning (ML) algorithms may shape the future. BCIs come with substantial ethical and risk considerations, and it is argued that open source principles may help us navigate complex dilemmas by encouraging experimentation and making developments public as we build safeguards into this new paradigm. Bringing open-source principles of adaptability and transparency to BCI tools can help democratize the technology, permitting more voices to contribute to the conversation of what a BCI-driven future should look like. Open-source BCI tools and access to raw data, in contrast to black-box algorithms and limited access to summary data, are critical facets enabling artists, DIYers, researchers and other domain experts to participate in the conversation about how to study and augment human consciousness. Looking forward to a future in which augmented and virtual reality become integral parts of daily life, BCIs will likely play an increasingly important role in creating closed-loop feedback for generative content. Brain-computer interfaces are uniquely situated to provide artificial intelligence (AI) algorithms the necessary data for determining the decoding and timing of content delivery. The extent to which these algorithms are open-source may be critical to examine them for integrity, implicit bias, and conflicts of interest.

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“…Researchers have explored wearable interfaces for facial expression recognition [2]. Fukumoto et al [8] proposed a smile or laughter recognition method by using photo interrupters.…”

Section: Facial Expression Recognition Interfacementioning

confidence: 99%

Digital Full-Face Mask Display with Expression Recognition using Embedded Photo Reflective Sensor Arrays

Takegawa

Tokuda²,

Umezawa

et al. 2020

2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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This paper presents a thin digital full-face mask display that can reflect an entire facial expression of a user onto an avatar to support augmented face-to-face communication in real environments. Although camera-based facial expression recognition technology has enabled people to augment their faces with avatars, application was limited to face-to-face communication in virtual environments. To enable digital facial augmentation with an avatar in a real space, we propose a digital face mask display system that integrates a lightweight flexible display with a thin facial expression recognition system. The thin wearable facial expression recognition system was implemented with photo reflective sensor arrays which can measure facial expressions at 40 feature points distributed across an entire face. We investigated a ten-class facial expression identification model based on an SVM training algorithm. The trained model achieved an average accuracy of 79% when identifying the facial expressions of multiple users. User experiments indicated that the proposed thin digital full-face mask display allows the wearer to control the facial expression of the avatar with a fast response rate and create a positive sense of self-agency and self-ownership toward the augmented avatar face.

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PhysioHMD

Cited by 47 publications

References 20 publications

Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-being) Applications

Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-being) Applications

Brain-Computer Interfaces, Open-Source, and Democratizing the Future of Augmented Consciousness

Digital Full-Face Mask Display with Expression Recognition using Embedded Photo Reflective Sensor Arrays

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