Affective gaming in real-time emotion detection and Smart Computing music emotion recognition: Implementation approach with electroencephalogram

Kalansooriya, Pradeep; Ganepola, G. A. D

doi:10.1109/scse49731.2020.9313028

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…Some works in which music is used to induce emotions in the subjects are described below and it is analyzed that it will arouse different emotions depending on the musical properties of the piece. In [12] emotions are detected while the subject plays a racing video game, the EEG signal is chosen and the classifier is developed by taking the signals from a specific database of emotions. The idea is to insert musical segments into the game according to the emotions detected in the player.…”

Section: Review Of the State Of The Artmentioning

confidence: 99%

Emotional State Measurement Trial (EMOPROEXE):a Protocol for Promoting Exercise in Adult and Children with Cerebral Palsy

Gomez-Gonzalez,

Castro-Garcia,

Merino-Monge

et al. 2024

Preprint

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Background: The protocol described in this paper is part of a research project coordinated 1 between three Spanish universities where a technology aimed at improving the quality of life of 2 people suffering from cerebral palsy will be developed. Part of the technology developed will consist 3 of developing an interface and a series of applications to increase motivation for daily physical activity. 4 The basis of these developments is based on the measurement of the emotional state of the subjects. 5 Methods: The experimental protocol is designed with two objectives, on the one hand to identify the 6 emotional state through physiological signals, and on the other to determine whether music can be 7 a motivating factor to promote physical activity. It has been specifically designed for subjects with 8 cerebral palsy taking into account the special characteristics of this population. These are people with 9 whom it is difficult to use questionnaires to have a basis to contrast with the measured physiological 10 signals, so measurements must be taken in carefully chosen daily life situations Discussion: As results 11 we hope to obtain which physiological parameters are the most robust to measure the emotional state 12 and how to design rehabilitation and physical activity promotion routines that are motivating, in 13 addition to being able to avoid risk factors during the performance of these routines. Trial registration: 14 NCT05621057. https://clinicaltrials.gov/ct2/show/NCT05621057

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Section: Review Of the State Of The Artmentioning

confidence: 99%

Emotional State Measurement Trial (EMOPROEXE):a Protocol for Promoting Exercise in Adult and Children with Cerebral Palsy

Gomez-Gonzalez,

Castro-Garcia,

Merino-Monge

et al. 2024

Preprint

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“…Penetration testing has been vital in this process. Real-time gaming strategy is a useful approach to machine learning in penetration testing [9]. Penetration testing comprise of a variety of activities necessary for mitigating penetration risks in any system.…”

Section: Real-time Strategy Gaming Approach To Machine Learning In Pe...mentioning

confidence: 99%

“…The FOIL can be used to represent opponent strategies. The authors used information related to sensors of the game to improve the gaming experience [9]. This model can learn how to play RTS games by observing human demonstrations [9].…”

Section: Literature Reviewmentioning

confidence: 99%

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2022

IJCC

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In other to designing an efficient and capable machine learning algorithm that will automate penetration testing, one might want to look at realtime strategy computer games, as both involve an entity that attacks another one, be it the penetration tester targeting the network or the computer targeting the player's population within the video game. Historically, artificial intelligence and machine learning in computer games were implemented through reinforcement learning protocols, and such protocols are also well suited for autonomous penetration learning algorithms. An added similarity between real-time strategy games and penetration testing are that the games operate with large state spaces and complex mixtures of options. Over time this has become even more intricate, as commonly available computing power has increased, and human players have also become more proficient. The combination of choices in strategy games is infinite, and this is one more factor that they have in common with computer networks; trying to enter a cybersecurity network allows for many different options that are not always easy to predict -an excellent base for the application of reinforcement learning. Another commonality between real-time strategy games and penetration testing is that the layout of both the network and the game are not entirely known beforehand. Penetration testers must employ reconnaissance to learn about network topology; the 'fog of war' in strategy games prevents the player from knowing the lay of the land before he has explored it. Thus, many arguments favor using computer strategy games -and simulations -as a framework for developing autonomous cybersecurity products, such as penetration tests. Moreover, despite their large number of options, real-time strategy games can be played using a handful of larger strategy types; this can inform the type of attack tree a penetration test chooses to utilize, given the configuration of vulnerabilities found during reconnaissance.

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“…These works show that music can arouse different emotions depending on the musical properties of the piece. In [21], emotions were detected while the subject played a racing video game; the EEG signal was chosen and the classifier was developed by taking the signals from a specific database of emotions. The idea was to insert musical segments into the game according to the emotions detected in the player.…”

mentioning

confidence: 99%

Emotional State Measurement Trial (EMOPROEXE): A Protocol for Promoting Exercise in Adults and Children with Cerebral Palsy

Gómez-González,

Castro-García,

Merino-Monge

et al. 2024

JPM

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Background: The protocol described in this paper is part of a research project coordinated between three Spanish universities, where a technology aimed at improving the quality of life of people with cerebral palsy will be developed. Part of the proposed technology will consist of an interface and a series of applications to increase motivation for daily physical activity. The basis of these developments is the measurement of the emotional state of the subjects. Methods: The experimental protocol is designed with two research objectives, on the one hand to identify the emotional state through physiological signals, and on the other to determine whether music can be a motivating factor to promote physical activity. It is specifically designed for subjects with cerebral palsy, taking into account the special characteristics of this population. These are people with whom it is difficult to use questionnaires to have a basis to contrast with the measured physiological signals, so measurements must be taken in carefully chosen daily-life situations. Discussion: We hope our findings show which physiological parameters are the most robust to measure the emotional state and how to design rehabilitation and physical activity promotion routines that are motivating, in addition to being able to avoid risk factors during the performance of these routines. Trial registration: NCT05621057.

show abstract

Affective gaming in real-time emotion detection and Smart Computing music emotion recognition: Implementation approach with electroencephalogram

Cited by 8 publications

References 5 publications

Emotional State Measurement Trial (EMOPROEXE):a Protocol for Promoting Exercise in Adult and Children with Cerebral Palsy

Emotional State Measurement Trial (EMOPROEXE):a Protocol for Promoting Exercise in Adult and Children with Cerebral Palsy

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Emotional State Measurement Trial (EMOPROEXE): A Protocol for Promoting Exercise in Adults and Children with Cerebral Palsy

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