Gender-Specific Classifiers in Phoneme Recognition and Academic Emotion Detection

Azcarraga, Arnulfo P.; Talavera, Arces; Azcarraga, Judith

doi:10.1007/978-3-319-46681-1_59

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…The study [83] compares the programming comprehension between novice and expert programmers and observe the differences. Some studies evaluate students' emotions when engaged in computer programming activities [84][85][86]. The signals from the brain are processed in this study [62], to quantitatively examine, contrast and comprehend how emotions and/or cognitive load change when coders work with two different programming languages, C and Python.…”

Section: Eeg In Education and Problem Solvingmentioning

confidence: 99%

An Overview of Mindwave Applications: Study Cases

Teixeira,

Gomes,

Brito-Costa

2023

New Insights in Brain-Computer Interface Systems [Working Title]

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Brain-computer interfaces (BCIs) have diverse applications across various research domains. In healthcare, individuals with disabilities in communication and controlling prosthetic devices are aided. Beyond healthcare, BCIs integrate seamlessly into Internet of Things (IoT) and smart environments, enabling intuitive device control and interaction, enhancing user experiences. In neuromarketing and advertising, BCIs help decipher consumers’ preferences and emotional responses to products and services, providing businesses with profound insights into consumer behavior. In education and self-regulation, BCIs monitor and regulate students’ cognitive states. BCIs use sensors and hardware to capture brain signals, with non-invasive electroencephalography (EEG) technology being a pivotal component. Preliminary studies analyzing cognitive load using EEG signals and the Mindwave device pave the way for measuring student learning outcomes, shedding light on cognitive and neurological learning processes. Our research explores these parameters, particularly the Mindwave system, aiming to understand brain function across domains. To this end, we conduct a range of diversified studies, trying to better grasp parameters such as attention, concentration, stress, immersion, and fatigue during various tasks. Ultimately, our work seeks to harness BCIs’ potential to improve our understanding of brain function and enhance various areas of knowledge.

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