VALENCE: affective visualisation using EEG

Smedt, Tom De; Menschaert, Lieven

doi:10.1080/14626268.2012.719240

Cited by 14 publications

(8 citation statements)

References 14 publications

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“…The aim of the project was to open up new methods of collaboration between artists and the public. Similarly, De Smedt and Menschaert [27] developed a system called "VALENCE", which interpreted affective brain signals and animated colorful particles on a public display accordingly (see Fig. 2).…”

Section: B Musification/animationmentioning

confidence: 98%

“…the alpha rhythm) continuously, without aiming for a sophisticated artistic product. An example is the interactive artistic installation called "VALENCE" [27]. This system interprets the alpha rhythm and the valence state of the brain.…”

Section: B Exploring Emotionsmentioning

confidence: 99%

“…1). He extracted the brain signals in the alpha and beta (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) bands. Then, small hammers tapped the steel plates according to the amplitudes of these signals.…”

Section: A Audification/visualisationmentioning

confidence: 99%

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Affective Brain-Computer Interfaces for Arts

Gürkök

Nijholt

2013

2013 Humaine Association Conference on Affective Computing and Intelligent Interaction

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We experience positive emotions when our hedonic needs, such as virtuosity or relatedness, are satisfied. Creating art is one way of satisfying these needs, so artistic computer applications can be considered as 'affective'. Artistic braincomputer interfaces (BCIs), which allow people to create art using brain signals, are such computer applications. Therefore, they can be considered as affective BCIs. In this paper, we provide an overview of artistic BCIs and discuss how affective BCIs can be used to create art and have hedonic experiences. Then we provide some guidelines for developing affective artistic BCIs.

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Section: B Musification/animationmentioning

confidence: 98%

Section: B Exploring Emotionsmentioning

confidence: 99%

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Affective Brain-Computer Interfaces for Arts

Gürkök

Nijholt

2013

2013 Humaine Association Conference on Affective Computing and Intelligent Interaction

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“…The Electroencephalograms (EEG) record the electric activity of a human's brain through electrodes that are attached to the scalp that used traditionally for medical purposes in diagnosis and management of various brain-related disorders such as the case of epilepsy and abnormal neuronal activity [20]. The EEG feature also assists in tracking patients' brain activities while patients are carrying out their daily tasks.…”

Section: Introductionmentioning

confidence: 99%

Measure learning effectiveness among children using EEG device and mobile application

Gasah

Baharum

Zain

2020

IJEECS

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This paper presents a method in measuring the learning effectiveness among children using EEG device and Mobile Application. In this study, an approach to measure the children learning effectiveness using a mobile learning application and EEG device have been developed. The method used to develop the approach was from the extensive literature review from previous research related to children learning effectiveness and its experimental works. A quantitative method was used to measure the effectiveness of children learning and the result of this experimental work shows that children learning effectiveness can reach nearly 73%. Since lot of teachers and student having trouble in accessing the learning activity whether it was effective or not, this study shown a significant way to solve such problem.

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“…Monitoring such affective biofeedback signal can be useful to improve the gaming experience [1]. FPS (first-person shooters are a type of three-dimensional shooter game [2], featuring a first-person point of view with which the player sees the action through the eyes of the player character) game is a video game genre centered on gun shooting and projectile weapon-based combat through a first-person perspective.…”

Section: Introductionmentioning

confidence: 99%

BCI Sensor Based Environment Changing System for Immersion of 3D Game

Cho

Lee

2014

International Journal of Distributed Sensor Networks

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We present a methodology about game environment system based on BCI (brain computer interface) for immersion of FPS game play. FPS game is a video game genre centered on gun shooting and projectile weapon-based combat through a first-person perspective; immersion is important factor in this game. FPS game designer makes efforts to raise player's immersion using interface, graphic effect, sound, and so forth. We implemented real-time game environment system using game player's emotional state information from the BCI sensor to raise the degree of immersion in FPS game. We measured user's EEG signal using MindSet to take user's emotional state on playing game. We can get user's emotional state in 4 categories (attention/inattention, meditation/uneasiness) and this emotional state interacts with game environment system real time. In game environment space, each player experiences different environmental situation (lighting, fog) because each player has emotional state on each scene. We implemented game environment system to be changed (lighting, fog) on playing FPS game. Player can feel the change of game environment by our system. We found out that game environment system can be applied to various game genres to raise player's immersion on playing game.

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VALENCE: affective visualisation using EEG

Cited by 14 publications

References 14 publications

Affective Brain-Computer Interfaces for Arts

Affective Brain-Computer Interfaces for Arts

Measure learning effectiveness among children using EEG device and mobile application

BCI Sensor Based Environment Changing System for Immersion of 3D Game

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