Literature DB >> 26621099

Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review.

Ane Alberdi1, Asier Aztiria2, Adrian Basarab3.   

Abstract

Stress is a major problem of our society, as it is the cause of many health problems and huge economic losses in companies. Continuous high mental workloads and non-stop technological development, which leads to constant change and need for adaptation, makes the problem increasingly serious for office workers. To prevent stress from becoming chronic and provoking irreversible damages, it is necessary to detect it in its early stages. Unfortunately, an automatic, continuous and unobtrusive early stress detection method does not exist yet. The multimodal nature of stress and the research conducted in this area suggest that the developed method will depend on several modalities. Thus, this work reviews and brings together the recent works carried out in the automatic stress detection looking over the measurements executed along the three main modalities, namely, psychological, physiological and behavioural modalities, along with contextual measurements, in order to give hints about the most appropriate techniques to be used and thereby, to facilitate the development of such a holistic system.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Behaviour; Early detection; Multimodality; Physiology; Stress

Mesh:

Year:  2015        PMID: 26621099     DOI: 10.1016/j.jbi.2015.11.007

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  37 in total

1.  Mental stress assessment using simultaneous measurement of EEG and fNIRS.

Authors:  Fares Al-Shargie; Masashi Kiguchi; Nasreen Badruddin; Sarat C Dass; Ahmad Fadzil Mohammad Hani; Tong Boon Tang
Journal:  Biomed Opt Express       Date:  2016-09-06       Impact factor: 3.732

2.  Objective detection of chronic stress using physiological parameters.

Authors:  Rabah M Al Abdi; Ahmad E Alhitary; Enas W Abdul Hay; Areen K Al-Bashir
Journal:  Med Biol Eng Comput       Date:  2018-06-18       Impact factor: 2.602

Review 3.  Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations.

Authors:  O S Albahri; A S Albahri; K I Mohammed; A A Zaidan; B B Zaidan; M Hashim; Omar H Salman
Journal:  J Med Syst       Date:  2018-03-22       Impact factor: 4.460

Review 4.  Mitigation of stress: new treatment alternatives.

Authors:  Ahmad Rauf Subhani; Nidal Kamel; Mohamad Naufal Mohamad Saad; Nanda Nandagopal; Kenneth Kang; Aamir Saeed Malik
Journal:  Cogn Neurodyn       Date:  2017-11-29       Impact factor: 5.082

5.  Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors.

Authors:  Noa Magal; Sharona L Rab; Pavel Goldstein; Lisa Simon; Talita Jiryis; Roee Admon
Journal:  Chronic Stress (Thousand Oaks)       Date:  2022-07-25

6.  Electrodermal Activity for Measuring Cognitive and Emotional Stress Level.

Authors:  Osmalina Nur Rahma; Alfian Pramudita Putra; Akif Rahmatillah; Yang Sa'ada Kamila Ariyansah Putri; Nuzula Dwi Fajriaty; Khusnul Ain; Rifai Chai
Journal:  J Med Signals Sens       Date:  2022-05-12

Review 7.  Critical Problems for Research in Animal Sheltering, a Conceptual Analysis.

Authors:  Kevin Horecka; Sue Neal
Journal:  Front Vet Sci       Date:  2022-04-01

8.  How to Relax in Stressful Situations: A Smart Stress Reduction System.

Authors:  Yekta Said Can; Heather Iles-Smith; Niaz Chalabianloo; Deniz Ekiz; Javier Fernández-Álvarez; Claudia Repetto; Giuseppe Riva; Cem Ersoy
Journal:  Healthcare (Basel)       Date:  2020-04-16

Review 9.  Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review.

Authors:  Aida Kamišalić; Iztok Fister; Muhamed Turkanović; Sašo Karakatič
Journal:  Sensors (Basel)       Date:  2018-05-25       Impact factor: 3.576

10.  Wireless, continuous monitoring of daily stress and management practice via soft bioelectronics.

Authors:  Hojoong Kim; Yun-Soung Kim; Musa Mahmood; Shinjae Kwon; Fayron Epps; You Seung Rim; Woon-Hong Yeo
Journal:  Biosens Bioelectron       Date:  2020-11-04       Impact factor: 10.618

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