Detection of Stress Level and Phases by Advanced Physiological Signal Processing Based on Fuzzy Logic

Zalabarria, Unai; Irigoyen, Eloy; Martínez, Raquel; Salazar-Ramirez, Asier

doi:10.1007/978-3-319-47364-2_29

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…EDA measures the changes in conductance at the skin surface due to sweat production that is representative of the intensity of our emotional arousal. It could be considered as a nonintrusive control tool, and for this reason it has been used in many studies thanks to the use of wearable devices (Acerbi et al, 2017;Anusha et al, 2020;Debard et al, 2020;Delmastro et al, 2020;Kalimeri & Saitis, 2016;Minguillon et al, 2018;Mozos et al, 2017) or embedded sensors (Affanni et al, 2018;Sriramprakash et al, 2017a;Zalabarria et al, 2017) able to detect it.…”

Section: Identification Of the Main Stress Detection Parameters For S...mentioning

confidence: 99%

“…HRV could be considered a biometric parameter upon which to determine people's stress conditions. Thanks to the use of a tool able to detect heart signals, HRV could be easily collected through wearable devices (Acerbi et al, 2017;Debard et al, 2020;Rani et al, 2002) or other monitoring tools with specific sensors (Mozos et al, 2017;Reanaree et al, 2016;Sriramprakash et al, 2017b;Zalabarria et al, 2017) (Mozos et al, 2017) or a traditional ECG. HRV could be also combined with social media microblogs (Feng et al, 2021).…”

Section: Identification Of the Main Stress Detection Parameters For S...mentioning

confidence: 99%

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Application of Smart Technologies for Assessing Users’ Well-Being for Immersive Design Strategies: A State-of-the-Art Review

D'Ascenzi,

Getuli,

Fiesoli

2023

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

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As never before, during the COVID-19 pandemic, the effectiveness of the digital design strategies on the user’s well-being has been questioned. However, a research branch astride digital design and neuroscience able to overcome net discipline borders to analyse users’ well-being seems to be lacking. Today mainly qualitative data are used in the design field for the investigation of users’ quality experience. Although fundamental, they also have great disadvantages such as unanswered questions, unconscientious responses, and respondents’ biases. As such, a systematic state of art review is presented to find methodologies and tools currently used in medicine to identify the impact of digital design strategies (XR) on users’ well-being through quantitative and objective data. The main technologies used for this purpose have been synthesized in a schematic chart by reporting the principal related biometric data (skin conductivity, heart rate metrics and breathing rates), as well as other technologies such as video/images/audio analysis based on sensors and machine learning to reach out mass numbers. In conclusion, gaps and future applications of this innovative approach within the virtual environment have been identified by the authors

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Section: Identification Of the Main Stress Detection Parameters For S...mentioning

confidence: 99%

Section: Identification Of the Main Stress Detection Parameters For S...mentioning

confidence: 99%

Application of Smart Technologies for Assessing Users’ Well-Being for Immersive Design Strategies: A State-of-the-Art Review

D'Ascenzi,

Getuli,

Fiesoli

2023

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

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show abstract

“…This feature represents the contribution of the parasympathetic nervous system to cardiac regulation [4], [31]. However, in stressful situations, the breath becomes more frequent and inharmonious [23], [27], [36]. These changes are noticeable in Figure 4, where the spectral representation of the signal is calculated via a fast Fourier transform (7).…”

Section: A: Mean Heart Period (Mhp)mentioning

confidence: 99%

A Low-Cost, Portable Solution for Stress and Relaxation Estimation Based on a Real-Time Fuzzy Algorithm

et al. 2020

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This paper proposes a reliable stress and relaxation level estimation algorithm that is implemented in a portable, low-cost hardware device and executed in real time. The main objective of this work is to offer an affordable and ''ready-to-go'' solution for medical and personal environments, in which the detection of the arousal level of a person is crucial. Methods: To achieve meaningful identification of stress and relaxation, a fuzzy algorithm based on expert knowledge is built according to parameters extracted from physiological records. In addition to the heart rate, parameters extracted from the galvanic skin response and breath are employed to extend the results. Moreover, this algorithm achieves accurate results with a restricted computational load and can be implemented in a miniaturized low-cost prototype. The developed solution includes standard and actively shielded electrodes that are connected to an Arduino device for acquisition, while parameter extraction and fuzzy processing are conducted with a more powerful Raspberry Pi board. The proposed solution is validated using real physiological registers from 42 subjects collected using BIOPAC MP36 hardware. Additionally, a real-time acquisition, processing and remote cloud storage service is integrated via IoT wireless technology. Results: Robust identification of stress and relaxation is achieved, with F1 scores of 91.15% and 96.61%, respectively. Moreover, processing is performed using a 20-second sliding window; thus, only a small frame of context is required. Significance: This work presents a reliable solution for identifying stress and relaxation levels in real time, which can lead to the production of low-cost commercial devices for use in medical and personal environments.

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Acquisition and Fuzzy Processing of Physiological Signals to Obtain Human Stress Level Using Low Cost Portable Hardware

Zalabarria

Irigoyen

Martínez

et al. 2017

International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

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Detection of Stress Level and Phases by Advanced Physiological Signal Processing Based on Fuzzy Logic

Cited by 5 publications

References 20 publications

Application of Smart Technologies for Assessing Users’ Well-Being for Immersive Design Strategies: A State-of-the-Art Review

Application of Smart Technologies for Assessing Users’ Well-Being for Immersive Design Strategies: A State-of-the-Art Review

A Low-Cost, Portable Solution for Stress and Relaxation Estimation Based on a Real-Time Fuzzy Algorithm

Acquisition and Fuzzy Processing of Physiological Signals to Obtain Human Stress Level Using Low Cost Portable Hardware

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