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The SEBA system: a novel approach for assessing psychological stress continuously at the workplace

Published: 06 January 2020 Publication History

Abstract

Stress at work is a major cause of health problems for the employees and of costs for companies and the healthcare system. To prevent stress-related disorders, first both the stress level and the exposition to possible stressors must be known. The SEBA system assesses both and produces live data streams that are constantly and automatically evaluated. The system is a head-worn portable device. Multiple sensors assess biosignals of the users that are known to be sensitive towards the feeling of stress (e.g., pulse, eye blink rate, breathing rate, brain activity) and ambient conditions that could influence the feeling of stress (e.g., air quality, flickering lights, temperature, draft). SEBA classifies the individual stress level using a neural network and sends the processed data to a mobile application for visualization purposes. In this paper, we introduce the concept of the SEBA system, including its hardware, sensors, firmware, and software. The SEBA system is currently being development; the paper outlines the current state of development and possible obstacles.

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Cited By

View all
  • (2024)A Systematic Literature Review on Affective Computing Techniques for Workplace Stress DetectionAdvances in Computational Collective Intelligence10.1007/978-3-031-70248-8_4(44-56)Online publication date: 8-Sep-2024
  • (2023)Reforming work patterns or negotiating workloads? Exploring alternative pathways for digital productivity assistants through a problematization lensJournal of Information Technology10.1177/0268396223118160239:3(503-520)Online publication date: 23-Jun-2023
  • (2021)CareCam: Concept of a new tool for Corporate Health ManagementProceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference10.1145/3453892.3461314(585-593)Online publication date: 29-Jun-2021

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cover image ACM Other conferences
iWOAR '19: Proceedings of the 6th International Workshop on Sensor-based Activity Recognition and Interaction
September 2019
76 pages
ISBN:9781450377140
DOI:10.1145/3361684
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 06 January 2020

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Author Tags

  1. healthcare wearables
  2. multi-sensor measurement
  3. occupational healthcare
  4. physiological and psychological stress reaction
  5. stress assessment
  6. stressors at the workplace
  7. vital signs

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  • Research-article

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  • Bundesministerium für Wirtschaft und Energie

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iWOAR '19

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iWOAR '19 Paper Acceptance Rate 10 of 11 submissions, 91%;
Overall Acceptance Rate 46 of 73 submissions, 63%

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Cited By

View all
  • (2024)A Systematic Literature Review on Affective Computing Techniques for Workplace Stress DetectionAdvances in Computational Collective Intelligence10.1007/978-3-031-70248-8_4(44-56)Online publication date: 8-Sep-2024
  • (2023)Reforming work patterns or negotiating workloads? Exploring alternative pathways for digital productivity assistants through a problematization lensJournal of Information Technology10.1177/0268396223118160239:3(503-520)Online publication date: 23-Jun-2023
  • (2021)CareCam: Concept of a new tool for Corporate Health ManagementProceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference10.1145/3453892.3461314(585-593)Online publication date: 29-Jun-2021

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