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Objective measures, sensors and computational techniques for stress recognition and classification

Published on Dec 1, 2012in Computer Methods and Programs in Biomedicine3.42
· DOI :10.1016/j.cmpb.2012.07.003
Nandita Sharma7
Estimated H-index: 7
(ANU: Australian National University),
Tamás D. Gedeon29
Estimated H-index: 29
(ANU: Australian National University)
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Abstract
Stress is a major growing concern in our day and age adversely impacting both individuals and society. Stress research has a wide range of benefits from improving personal operations, learning, and increasing work productivity to benefiting society - making it an interesting and socially beneficial area of research. This survey reviews sensors that have been used to measure stress and investigates techniques for modelling stress. It discusses non-invasive and unobtrusive sensors for measuring computed stress, a term we coin in the paper. Sensors that do not impede everyday activities that could be used by those who would like to monitor stress levels on a regular basis (e.g. vehicle drivers, patients with illnesses linked to stress) is the focus of the discussion. Computational techniques have the capacity to determine optimal sensor fusion and automate data analysis for stress recognition and classification. Several computational techniques have been developed to model stress based on techniques such as Bayesian networks, artificial neural networks, and support vector machines, which this survey investigates. The survey concludes with a summary and provides possible directions for further computational stress research.
  • References (113)
  • Citations (148)
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References113
Newest
Published on Apr 27, 2013 in CHI (Human Factors in Computing Systems)
Marianna Obrist19
Estimated H-index: 19
(Newcastle University),
Sue Ann Seah7
Estimated H-index: 7
(UoB: University of Bristol),
Sriram Subramanian34
Estimated H-index: 34
(UoB: University of Bristol)
A common problem with designing and developing applications with tactile interfaces is the lack of a vocabulary that allows one to describe or communicate about haptics. Here we present the findings from a study exploring participants' verbalizations of their tactile experiences across two modulated tactile stimuli (16Hz and 250Hz) related to two important mechanoreceptors in the human hand. The study, with 14 participants, applied the explicitation interview technique to capture detailed descri...
Published on Jul 6, 2011
Jiawei Han134
Estimated H-index: 134
(UIUC: University of Illinois at Urbana–Champaign),
Micheline Kamber13
Estimated H-index: 13
(SFU: Simon Fraser University),
JianPei68
Estimated H-index: 68
(SFU: Simon Fraser University)
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition o...
Published on Apr 1, 2011in IEEE Pervasive Computing3.81
Maria E. Jabon5
Estimated H-index: 5
(Stanford University),
Jeremy N. Bailenson46
Estimated H-index: 46
(Stanford University)
+ 2 AuthorsClifford Nass55
Estimated H-index: 55
(Stanford University)
A system for tracking driver facial features aims to enhance the predictive accuracy of driver-assistance systems. The authors identify key facial features at varying pre-accident intervals and use them to predict minor and major accidents.
Published on Jul 1, 2010 in AIM (International Conference on Advanced Intelligent Mechatronics)
Precup Radu-Emil35
Estimated H-index: 35
,
Sergiu Spataru8
Estimated H-index: 8
(AAU: Aalborg University)
+ 3 AuthorsClaudia-Adina Dragos9
Estimated H-index: 9
This paper discusse four new Takagi-Sugeno fuzzy controllers (T-S FCs) for the longitudinal slip control of an Antilock Braking System laboratory equipment. Two discrete-time dynamic Takagi-Sugeno fuzzy models of the controlled plant are derived based on the parameters in the consequents of the rules using the domains of the input variables, and doing the local linearization of the plant model. The original T-S FCs are designed by parallel distributed compensation to obtain the state feedback ga...
Published on May 1, 2010 in CSPA (International Colloquium on Signal Processing and Its Applications)
Noor Hayatee Abdul Hamid7
Estimated H-index: 7
(UiTM: Universiti Teknologi MARA),
Norizam Sulaiman11
Estimated H-index: 11
(UiTM: Universiti Teknologi MARA)
+ 2 AuthorsMohd Nasir Taib18
Estimated H-index: 18
(UiTM: Universiti Teknologi MARA)
This paper presents an evaluation conducted between human stress questionnaires with EEG Power Spectrum of Beta and Alpha band. Cohen's Perceived Stress Scale (PSS) was used as stress questionnaires to evaluate human stress. The EEG recording of 13 volunteers were carried out immediately after them answering the stress questionnaires. The scores from the stress questionnaires were calculated and used to figure out its relationship with the ratio of EEG Beta and Alpha band power. The results of t...
Published on Apr 1, 2010
Seyyed Abed Hosseini8
Estimated H-index: 8
(IAU: Islamic Azad University),
Mohammad A. Khalilzadeh22
Estimated H-index: 22
(IAU: Islamic Azad University)
this paper proposes a new emotional stress recognition system using multi-modal bio-signals. Since electroencephalogram (EEG) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research, it is used as the main signal. In order to choose the proper EEG channels we used the cognitive model of the brain under emotional stress. We designed an efficient acquisition protocol to acquire the EEG and psychophysiological signals under pictures induction environment...
Published on Feb 1, 2010in IEEE Transactions on Fuzzy Systems8.76
Mohit Kumar15
Estimated H-index: 15
,
Matthias Weippert10
Estimated H-index: 10
(University of Rostock)
+ 4 AuthorsRegina Stoll19
Estimated H-index: 19
(University of Rostock)
This study suggests the use of fuzzy-filtering algorithms to deal with the uncertainties associated to the analysis of physiological signals. The signal characteristics, for a given situation or physiological state, vary for an individual over time and also vary among the individuals with the same state. These random variations are due to the several factors related to the physiological behavior of individuals, which cannot be taken into account in the interpretation of signal characteristics. O...
Published on Dec 14, 2009
Mahesh M. Bundele3
Estimated H-index: 3
,
Rahul Banerjee7
Estimated H-index: 7
(BITS: Birla Institute of Technology and Science)
Vehicular accidents are increasingly contributing towards loss of lives across the world. Timely detection of physiological and psychological parameters of the vehicular driver, which could cause various levels of physical and mental fatigue that lead to slower reflexes is therefore extremely important. As part of an ambitious research initiative, India is developing a pervasive computing solution for eliminating / reducing such accidents. As one of the component of such solution, a wearable com...
Published on Nov 1, 2009
Norizam Sulaiman11
Estimated H-index: 11
(Universiti Malaysia Pahang),
Noor Hayatee Abdul Hamid7
Estimated H-index: 7
(UiTM: Universiti Teknologi MARA)
+ 1 AuthorsMohd Nasir Taib18
Estimated H-index: 18
(UiTM: Universiti Teknologi MARA)
This paper presents an investigation of a new technique to measure and indicate the level of human physical stress by studying and evaluating the pattern of the brainwaves using Electroencephalogram (EEG). The EEG data is analyzed using an intelligent signal processing techniques in order to indicate the level of the physical stress.
Lisa M. Vizer4
Estimated H-index: 4
(UMBC: University of Maryland, Baltimore County),
Lina Zhou30
Estimated H-index: 30
(UMBC: University of Maryland, Baltimore County),
Andrew Sears32
Estimated H-index: 32
(UMBC: University of Maryland, Baltimore County)
Monitoring of cognitive and physical function is central to the care of people with or at risk for various health conditions, but existing solutions rely on intrusive methods that are inadequate for continuous tracking. Less intrusive techniques that facilitate more accurate and frequent monitoring of the status of cognitive or physical function become increasingly desirable as the population ages and lifespan increases. Since the number of seniors using computers continues to grow dramatically,...
Cited By148
Newest
Published on Jan 1, 2020
Sudhangshu Sarkar (Narula Institute of Technology), Pallav Dutta (Narula Institute of Technology)+ 1 AuthorsAnilesh Dey2
Estimated H-index: 2
(Narula Institute of Technology)
In this article, the effect of stress on heart rate variability (HRV) is analysed, while a human mind is subjected to different stressful situations. The subjects had to go through a series of challenges that exaggerate their mental stress. The subjects had been given specific tasks which are both time bound and without any limitation of time. The HRV signals are taken before and after the completion of tasks. The quantification is done by fitting an ellipse on the constructed a 2D phase space o...
Yun Zhou5
Estimated H-index: 5
(SNNU: Shaanxi Normal University),
Tao Xu5
Estimated H-index: 5
(NPU: Northwestern Polytechnical University)
+ 1 AuthorsRuifeng Shi1
Estimated H-index: 1
(NPU: Northwestern Polytechnical University)
Confusion is an emotion, which may occur when the learner is confronting inconsistence between new knowledge and existing cognitive structure, or reasoning for solving the puzzle and problem. Although confusion is not pleasant, it is necessary for the learner to engage in understanding and deep learning. Consequently, confusion assessment has attracted increased interest in e-learning. However, current studies have targeted no further than engagement detection and measurement, while there is lac...
Published on Jan 1, 2020
Lucas Paletta19
Estimated H-index: 19
,
Martin Pszeida2
Estimated H-index: 2
+ 2 AuthorsRaphael Marton
Published on Mar 25, 2019in The Professional Geographer1.55
Amit Birenboim7
Estimated H-index: 7
,
Martin Dijst34
Estimated H-index: 34
+ 2 AuthorsMarco Helbich22
Estimated H-index: 22
Advances in commercial wearable devices are increasingly facilitating the collection and analysis of everyday physiological data. This article discusses the theoretical and practical aspects of using such ambulatory devices for the detection of episodic changes in physiological signals as a marker for mental state in outdoor environments. A pilot study was conducted to evaluate the feasibility of using commercial wearables in combination with location tracking technologies. The study measured ph...
This paper presents a new method of human-response testing to enhance the success of designs. Rather than waiting until after a building is constructed to see how the design will affect human users, we developed a high-resolution virtual-reality platform to present design variations to the study participants. This technique allowed us to make very precise adjustments in design variables (e.g., the ceiling height, or the placement of windows) within the same overall structure, thereby obtaining m...
Published on Jun 1, 2019in Medical & Biological Engineering & Computing2.04
Noor Aimie-Salleh2
Estimated H-index: 2
(UTM: Universiti Teknologi Malaysia),
M. B. Malarvili7
Estimated H-index: 7
(UTM: Universiti Teknologi Malaysia),
Anna C. Whittaker4
Estimated H-index: 4
(University of Birmingham)
REF Compliant by Deposit in other institution's Repository: Birmingham's repository on 07/02/2019: https://research.birmingham.ac.uk/portal/en/publications/fusion-of-heart-rate-variability-and-salivary-cortisol-for-stress-response-identification-based-on-adverse-childhood-experience(f98c681a-061a-4354-bc22-19743ade7104).html
Published on Jun 1, 2019in Analytic Methods in Accident Research
Evangelos Paschalidis2
Estimated H-index: 2
(University of Leeds),
Charisma F. Choudhury8
Estimated H-index: 8
(University of Leeds),
Stephane Hess36
Estimated H-index: 36
(University of Leeds)
Abstract Car-following models, which are used to predict the acceleration-deceleration decisions of drivers in the presence of a closely spaced lead vehicle, are critical components of traffic microsimulation tools and useful for safety evaluation. Existing car-following models primarily account for the effects of surrounding traffic conditions on a driver’s decision to accelerate or decelerate. However, research in human factors and safety has demonstrated that driving decisions are also signif...
Published on May 20, 2019
Stefan Gradl4
Estimated H-index: 4
(FAU: University of Erlangen-Nuremberg),
Markus Wirth3
Estimated H-index: 3
(FAU: University of Erlangen-Nuremberg)
+ 2 AuthorsBjoern M. Eskofier16
Estimated H-index: 16
(FAU: University of Erlangen-Nuremberg)
Negative consequences of stress are a pervasive problem in our modern society. Recent developments in wearable lifestyle hardware have led to unobtrusive, sensor-packed, always-on devices that might finally be able to continuously monitor biosignals to detect, determine or even prevent stress or some of its negative outcomes. In this work, we give a concise overview of a majority of biosignals that are in some way relevant for stress classification and outline state-of-the-art machine learning a...
Published on May 1, 2019in Biomedical Signal Processing and Control2.94
Andrea Guidi5
Estimated H-index: 5
(UniPi: University of Pisa),
Claudio Gentili21
Estimated H-index: 21
(UNIPD: University of Padua)
+ 1 AuthorsNicola Vanello11
Estimated H-index: 11
(UniPi: University of Pisa)
Abstract Voice signal has been widely investigated to characterize mood and emotional states. A further interesting dimension could regard the personality traits. The relationship between personality traits and specific speech features is known, however this topic requires further investigation. Specifically, most studies are focused on perceived personality traits, without adopting dedicated personality tests. Moreover, the relationship among speaker personality traits and specific speech featu...
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