EEG analysis and mobile robot as tools for emotion characterization in autism

Goulart, Christiane; Castillo, Javier; Valadão, Carlos; Bastos, Teodiano; Caldeira, Eliete

doi:10.1186/1753-6561-8-s4-p85

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…The drawback of this device is the necessity for the child to wear EEG sensors while using the robot. It was created to work with autistic children; however, to date, there are no data available on the clinical application of this device …”

Section: Different Aspects Of Emotional Expressionmentioning

confidence: 99%

Emotional expression in psychiatric conditions: New technology for clinicians

Grabowski

Rynkiewicz

Lassalle

et al. 2018

Psychiatry Clin Neurosci

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Aim Emotional expressions are one of the most widely studied topics in neuroscience, from both clinical and non‐clinical perspectives. Atypical emotional expressions are seen in various psychiatric conditions, including schizophrenia, depression, and autism spectrum conditions. Understanding the basics of emotional expressions and recognition can be crucial for diagnostic and therapeutic procedures. Emotions can be expressed in the face, gesture, posture, voice, and behavior and affect physiological parameters, such as the heart rate or body temperature. With modern technology, clinicians can use a variety of tools ranging from sophisticated laboratory equipment to smartphones and web cameras. The aim of this paper is to review the currently used tools using modern technology and discuss their usefulness as well as possible future directions in emotional expression research and treatment strategies. Methods The authors conducted a literature review in the PubMed, EBSCO, and SCOPUS databases, using the following key words: ‘emotions,’ ‘emotional expression,’ ‘affective computing,’ and ‘autism.’ The most relevant and up‐to‐date publications were identified and discussed. Search results were supplemented by the authors’ own research in the field of emotional expression. Results We present a critical review of the currently available technical diagnostic and therapeutic methods. The most important studies are summarized in a table. Conclusion Most of the currently available methods have not been adequately validated in clinical settings. They may be a great help in everyday practice; however, they need further testing. Future directions in this field include more virtual‐reality‐based and interactive interventions, as well as development and improvement of humanoid robots.

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Section: Different Aspects Of Emotional Expressionmentioning

confidence: 99%

Emotional expression in psychiatric conditions: New technology for clinicians

Grabowski

Rynkiewicz

Lassalle

et al. 2018

Psychiatry Clin Neurosci

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“…Enquanto o participante interage com o ambiente, a fotopletismografia de pulso (PPG), a atividade eletrodérmica (AED) e a temperatura da pele são capturados a fim de verificar o nível de ansiedade e fazer adaptações no ambiente para melhorar as habilidades de comunicação social do autista. Goulart et al (2014) apresentaram um sistema composto por um robô que cria atividades para autistas e que tem acoplado um sensor de EEG para caracterizar emoções do usuário. Além de se notar que os sinais de EEG, PPG e AED são os mais comumente utilizados nos trabalhos estudados, foi observado que poucos se preocuparam em criar um aparato esteticamente atraente.…”

Section: Trabalhos Relacionadosunclassified

Avaliação de Plataforma Multimodal de Jogos Sérios para Auxílio a Terapia para Autistas

Trindade

Jeronimo

Hounsell

et al. 2021

Anais Do XXXII Simpósio Brasileiro De Informática Na Educação (SBIE 2021)

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Este trabalho descreve o desenvolvimento de uma plataforma capaz de capturar a frequência cardíaca através de um sensor óptico não invasivo embutido em um joystick. A plataforma se concentra nos transtornos do espectro autista (TEA), cuja interação com mídias digitais ainda não foi totalmente compreendida. Um jogo sério foi desenvolvido para testar a frequência cardíaca como parâmetro de jogo. Um questionário foi respondido por 39 especialistas que avaliaram a plataforma, o design do joystick e o jogo. Todos os 18 itens foram avaliados acima do centro da escala, exceto os custos do projeto. Podemos concluir que este tipo de plataforma multimodal pode melhorar as possibilidades de criação de jogos sérios específicos para TEA.

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“…The authors in [18], [19] examines eye blinks of a test subject as well as detecting their brain signals to behave as a conduit among a set of options indicated in the display where the user can select and command electrical appliances, wheelchair, and even a computer with no reliance on others. In another effort, [20] proposed an EEG analysis tools for emotion characterization using mobile robot for autism patients. Basically, a laser sensor is equipped on the robot to identify and track the children's location.…”

Section: Literature Reviewmentioning

confidence: 99%

Electrical Appliance Switching Controller by Brain Wave Spectrum Evaluation Using a Wireless EEG Headset

F.¹,

Miskon²,

Hamzah³

et al. 2021

IJETAE

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Disabled people are usually unable to interact with their surroundings efficiently, and performing tasks like switching an appliance on or off can be troublesome if the user is bedridden, for example. This article discusses an electrical appliance switching controller using a wireless EEG headset that is aimed to aid elderly people and the disabled. The system comprises of a MindLink EEG headset that is Bluetooth-connected to an Arduino microcontroller board. The system permits the user to separately switch on and off the 4 electrical devices connected to the power socket. The EEG signal is obtained to investigate the brain activity throughout the experiments done. Based on the brain wave signals read, attention and meditation are determined to be the most suitable for this project and is used to trigger the relay switching of the power socket. It is found that the response time to trigger the switching is slow as some users require practice or training to control their brain wave signals effectively. The work performed provides a rudimentary insight of a BCI system functionalities and presents a brainwave-controlled hardware switching for the bedridden or disabled patients.

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EEG analysis and mobile robot as tools for emotion characterization in autism

Cited by 6 publications

References 2 publications

Emotional expression in psychiatric conditions: New technology for clinicians

Emotional expression in psychiatric conditions: New technology for clinicians

Avaliação de Plataforma Multimodal de Jogos Sérios para Auxílio a Terapia para Autistas

Electrical Appliance Switching Controller by Brain Wave Spectrum Evaluation Using a Wireless EEG Headset

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