Investigating Brain Dynamics in Industrial Environment – Integrating Mobile EEG and Kinect for Cognitive State Detection of a Worker

Mijović, Pavle; Milovanović, Miloš; Gligorijević, Ivan; Ković, Vanja; Zivanovic-Macuzic, Ivana; Mijović, Bogdan

doi:10.1007/978-3-319-58628-1_6

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Figure 1 shows in detail the literature and citation searches, as well as the screening phases, that led to the selection of the documents included in the review. [2,24,25,41,45,48,[49][50][51]61,82,83,85,87,[93][94][95]. Overall, the included documents covered the time period from 1995 to 2022.…”

Section: Resultsmentioning

confidence: 99%

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Marcantoni,

Assogna,

Del Borrello

et al. 2023

Sensors

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Background: This review systematically examined the scientific literature about electroencephalogram-derived ratio indexes used to assess human mental involvement, in order to deduce what they are, how they are defined and used, and what their best fields of application are. (2) Methods: The review was carried out according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. (3) Results: From the search query, 82 documents resulted. The majority (82%) were classified as related to mental strain, while 12% were classified as related to sensory and emotion aspects, and 6% to movement. The electroencephalographic electrode montage used was low-density in 13%, high-density in 6% and very-low-density in 81% of documents. The most used electrode positions for computation of involvement indexes were in the frontal and prefrontal cortex. Overall, 37 different formulations of involvement indexes were found. None of them could be directly related to a specific field of application. (4) Conclusions: Standardization in the definition of these indexes is missing, both in the considered frequency bands and in the exploited electrodes. Future research may focus on the development of indexes with a unique definition to monitor and characterize mental involvement.

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Section: Resultsmentioning

confidence: 99%

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Marcantoni,

Assogna,

Del Borrello

et al. 2023

Sensors

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show abstract

“…M EASUREMENTS of cognitive function have been integrated into task performance monitoring protocols in a variety of environments, including medical [1], [2], military [3], [4], aviation [5], [6], and industrial training platforms [7], [8]. The demand for enhanced examination of task performance can be extended generally to training platforms [9], [10], performance critical industries [11], [12], and rehabilitation [13], [14].…”

Section: Introductionmentioning

confidence: 99%

EEG Correlates of Driving Performance

Simpson

Rafferty

2022

IEEE Trans. Human-Mach. Syst.

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Techniques for monitoring human performance traditionally rely on subjective responses and task-specific scoring, yet research suggests EEG could offer multiple performance metrics with high temporal resolution and accuracy that could be leveraged for human-computer interaction purposes. The objective of the presented work is to investigate which EEG responses correlate with task performance and evaluate whether combinations of these produce effective predictive models, facilitating further understanding of the psychological link to performance. A user study was conducted with 32 participants required to negotiate a driving course with the ambition of learning and improving ability on the course during an EEG recording session. EEG was filtered and post-processed to find Power Spectral Density (PSD) in alpha (α), beta (β), delta (δ), and theta (θ) frequency bands, as well as frontal alpha asymmetry (FAA). The initial laps were considered a baseline and an average performance improvement was calculated over the remaining laps in terms of percentage improvement in duration of track traversal. Results demonstrate Event Related Desynchronisation (ERD) with increased task performance in the alpha (p = .000), delta (p = .000), and theta (p = .000) bands, as well as evidence of a relationship between overall change in FAA and task efficiency. A full electrode analysis identifies δF 4 as the optimal for predicting collisions, with efficiency best predicted by a combination of β Oz and δF 4 .

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Investigating Brain Dynamics in Industrial Environment – Integrating Mobile EEG and Kinect for Cognitive State Detection of a Worker

Cited by 2 publications

References 20 publications

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

EEG Correlates of Driving Performance

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