Low-invasive Neurophysiological Evaluation of Human Emotional State on Teleworkers

Ronca, Vincenzo; Flumeri, Gianluca Di; Giorgi, Andrea De; Vozzi, Alessia; Aricò, Pietro; Sciaraffa, Nicolina; Tamborra, Luca; Simonetti, Ilaria; Florio, Antonello; Babiloni, Fabio; Borghini, Gianluca

doi:10.5220/0010726700003063

Cited by 3 publications

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“…In this context, several scientific works demonstrated the reliability of wearable devices, such as the Empatica E4, in collecting Electrodermal Activity (EDA) and Photoplethysmographic (PPG) signals [9][10][11][12]. As demonstrated by different previous works [4,10,[13][14][15], the EDA corresponds to a consistent biomarker of the stress level, while the PPG-derived parameters, such as the Heart Rate (HR) and the Heart Rate Variability (HRV), were significantly correlated to the mental workload and emotional state variations [16][17][18][19][20][21]. In particular, Ragot et al [19] successfully adopted the Empatica E4 wristband to measure physiological responses in an emotion recognition task.…”

Section: Introductionmentioning

confidence: 92%

Wearable Technologies for Electrodermal and Cardiac Activity Measurements: A Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3+

Ronca,

Martinez-Levy,

Vozzi

et al. 2023

Sensors

Self Cite

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The capability of measuring specific neurophysiological and autonomic parameters plays a crucial role in the objective evaluation of a human’s mental and emotional states. These human aspects are commonly known in the scientific literature to be involved in a wide range of processes, such as stress and arousal. These aspects represent a relevant factor especially in real and operational environments. Neurophysiological autonomic parameters, such as Electrodermal Activity (EDA) and Photoplethysmographic data (PPG), have been usually investigated through research-graded devices, therefore resulting in a high degree of invasiveness, which could negatively interfere with the monitored user’s activity. For such a reason, in the last decade, recent consumer-grade wearable devices, usually designed for fitness-tracking purposes, are receiving increasing attention from the scientific community, and are characterized by a higher comfort, ease of use and, therefore, by a higher compatibility with daily-life environments. The present preliminary study was aimed at assessing the reliability of a consumer wearable device, i.e., the Fitbit Sense, with respect to a research-graded wearable, i.e., the Empatica E4 wristband, and a laboratory device, i.e., the Shimmer GSR3+. EDA and PPG data were collected among 12 participants while they performed multiple resting conditions. The results demonstrated that the EDA- and PPG-derived features computed through the wearable and research devices were positively and significantly correlated, while the reliability of the consumer device was significantly lower.

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Section: Introductionmentioning

confidence: 92%

Wearable Technologies for Electrodermal and Cardiac Activity Measurements: A Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3+

Ronca,

Martinez-Levy,

Vozzi

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

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Reducing flight upset risk and startle response: A study of the wake vortex alert with licensed commercial pilots

Borghini,

Ronca,

Giorgi

et al. 2024

Brain Research Bulletin

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Wearable Technologies for Electrodermal and Cardiac Activity measurements: a Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3+

Ronca,

Martinez-Levy,

Vozzi

et al. 2023

Preprint

View full text Add to dashboard Cite

The capability of measuring specific neurophysiological and autonomic parameters plays a crucial role in the objective evaluation of the human’s mental and emotional states. These human aspects are commonly known in scientific literature to be involved in a wide range of processes, such as the stress and arousal. These aspects represent a relevant factor especially in real and operational environment. Neurophysiological autonomic parameters, such as the Electrodermal Activity (EDA) and Photoplethysmographic data (PPG), have been usually investigated through research-graded devices, therefore resulting in a high degree of invasiveness, which could negatively interfere with the monitored user’s activity. For such a reason, in the last decade the recent consumer-grade wearable devices, usually designed for fitness tracking purposes, are receiving an increasing attention from the scientific community, being characterized by higher comfort, easiness of use and, therefore, by higher compatibility with dailylife environments. The present preliminary study aimed at assessing the reliability of a consumer wearable device, i.e., the Fitbit Sense, with respect to a research-graded wearable, i.e., the Empatica E4 wristband, and a laboratory device, i.e., the Shimmer GSR3+. The EDA and PPG were collected among 12 participants while performing multiple resting conditions. The results demonstrated that the EDA and PPG-derived features computed through the wearable and research devices were positively and significantly correlated, while the reliability of the consumer device resulted to be significantly lower.

show abstract

Low-invasive Neurophysiological Evaluation of Human Emotional State on Teleworkers

Cited by 3 publications

References 0 publications

Wearable Technologies for Electrodermal and Cardiac Activity Measurements: A Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3+

Wearable Technologies for Electrodermal and Cardiac Activity Measurements: A Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3+

Reducing flight upset risk and startle response: A study of the wake vortex alert with licensed commercial pilots

Wearable Technologies for Electrodermal and Cardiac Activity measurements: a Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3+

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