Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications

Val-Calvo, Mikel; Álvarez-Sánchez, José R.; Vicente, José Manuel Ferrández; Fernández, Eduardo

doi:10.3389/fncom.2019.00080

Cited by 27 publications

(18 citation statements)

References 31 publications

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“…In addition to the AWI computation, band-pass filtering also reduces common EEG artifacts, such as electrooculography (EOG) and electromyography (EMG), since they are commonly distributed in the lower (e.g., < 5Hz) and higher (e.g., > 30Hz) frequency bands (Val-Calvo et al, 2019). The time signal AWI (t) was epoched according to each k = 1, 2, .…”

Section: Electroencephalography and Sc Processingmentioning

confidence: 99%

Assessing the Emotional Response in Social Communication: The Role of Neuromarketing

et al. 2021

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Social advertising is designed to have an impact on the behavior of the target audience to improve the welfare of both the individuals and the society. The challenge for social marketing is to respond to the exchange process in a social perspective, considering that non-profit actions are perceived as intangible since they deal with services. As donations, the neuroscience applied to consumer behavior is an added value since it offers elements explaining the reactions of the individuals to emotional contents. Understanding the emotions in the moment in which they are felt allows to understand the experimentation of a message by individuals and to understand the possibility that the message can change the behavior of the target audience. The aim of the study is to assess the effectiveness of the Unicef bequest campaign in terms of emotional response, comparing different creative proposals to optimize communication, applying neuromarketing tools to the social area. The experiment involved 70 participants (35 males; 35 females; mean age 68.94 years) and compared two different spots and flyers. The progeny factor was introduced to assess the different impacts of bequests depending on the presence or absence of potential heirs. The neuromarketing tools such as electroencephalography (EEG), skin conductance (SC), and eye-tracker were used for instrumentation purposes. Analysis of the two spots showed statistically significant differences in both the Approach–Withdrawal Index (AWI), for the cognitive involvement, and the SC, the emotional activation indicator, particularly for those not having children (target audience) and in a specific spot that linked the possibility to live after death. The detection of the emotional responses through neuromarketing tools, associated with the non-profit communication, resulted particularly effective and verified an increment of 35% of the donations. Analyses performed with neuromarketing techniques allowed to understand both emotional intensity and cognitive involvement and to understand the best solution, according to the target audience and the aim of Unicef.

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Section: Electroencephalography and Sc Processingmentioning

confidence: 99%

Assessing the Emotional Response in Social Communication: The Role of Neuromarketing

et al. 2021

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“…Line noise is an artifact caused by measurement of the activity of a connected electrical power grid [14]. Blinking and subject movements result in distinct patterns of brain activity that can interfere with resting-state EEG [15]. Often, EEG software will reduce noise using a band-pass filter, a method intended to remove frequencies above or below defined thresholds.…”

Section: Electroencephalography Fundamentalsmentioning

confidence: 99%

Examining the Use of Electroencephalography for the Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

Abdallah

2021

URNCST Journal

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Introduction: Alzheimer's disease is a type of dementia characterized by a buildup of ꞵ-amyloid plaques and neurofibrillary tangles. Prior to the development of Alzheimer's disease, patients may experience mild cognitive impairment, characterized by a decline in cognitive abilities while maintaining independent function. Electroencephalography has shown promise as a clinical predictor of mild cognitive impairment. The purpose of this study is to review the existing literature on clinical biomarkers using resting-state electroencephalography or event-related potentials to differentiate Alzheimer's disease or mild cognitive impairment from normal aging. Methods: A search of primary research articles was conducted in PubMed. Selected articles examined mild cognitive impairment and Alzheimer's disease utilising electroencephalography, event-related potential data, and resting-state data. Reviews, conference abstracts, and studies without human controls were excluded. Results: Our search identified 100 and 125 records on resting-state and event-related potential data, respectively. The most common findings from resting-state studies included a reduction in alpha power, an increase in delta and theta power, a reduction in signal complexity, and differences in functional connectivity. The most common findings from event-related potential studies included reduction in P3 wave amplitude, as well as latency in both P3 and N2 waves. Discussion: Resting-state and event-related potential electroencephalography studies indicate distinct changes in oscillatory brain activity and waveform shape which indicate distinct differences in MCI or AD compared to HC which may be clinically relevant. Conclusion:There is evidence to support the use of certain electroencephalographic biomarkers for the diagnosis of Alzheimer's disease or mild cognitive impairment. Future research should seek to examine how best to apply these findings in a clinical setting.

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“…To record and collect the data, a self-produced software, GePHYCAM [30], is developed. This application looks forward to being accessible to the whole scientific community, providing a resourceful tool for human-behavior experimental paradigms, covering the following functionalities (see For the OpenBCI cap, four prefrontal and four temporal electrodes, {F3, T7, P7, F7, F4, T8, P8, F8}, were used as they proved to be the best areas for emotion estimation [9], [10], [31], [32]. The Empatica E4 wristband was placed on the non-dominant hand to avoid artifacts when users perform self-assessment ratings.…”

Section: A Acquisition Software: Gephycammentioning

confidence: 99%

“…An EEG oriented artifact removal technique (EAWICA) was used in this methodology. It was analyzed and validated with EEG brain patterns by Val-Calvo et al[32] under real-time conditions.…”

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confidence: 99%

Affective Robot Story-Telling Human-Robot Interaction: Exploratory Real-Time Emotion Estimation Analysis Using Facial Expressions and Physiological Signals

et al. 2020

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Affective human-robot interaction is still an active area of research in part due to the great advances in artificial intelligence. Now, the design of autonomous devices that work in real therapeutic environments has become a plausible reality. Affective human-robot interaction requires a robot to analyze the emotional state of the human interlocutor and interpret emotional responses that can be used, not merely in the interaction but, for example, to provoke desired therapeutic responses. It is, therefore, necessary to broaden experimental techniques into more realistic paradigms, where the capacity of emotion estimation can be completely explored. This exploratory paper proposes a realistic experimental paradigm in which the robot employs a dramatic story to evoke emotions in the users, and tests previously self-designed methodologies to be able to make estimates of the users' emotional state in real-time. Regardless of the multiple impediments and restrictions, and all the aspects that could still be improved, this paper can outline the feasibility of the proposed methodology in realistic scenarios.

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Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications

Cited by 27 publications

References 31 publications

Assessing the Emotional Response in Social Communication: The Role of Neuromarketing

Assessing the Emotional Response in Social Communication: The Role of Neuromarketing

Examining the Use of Electroencephalography for the Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

Affective Robot Story-Telling Human-Robot Interaction: Exploratory Real-Time Emotion Estimation Analysis Using Facial Expressions and Physiological Signals

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