Objective measures, sensors and computational techniques for stress recognition and classification: A survey
By Nandita Sharma, Tom Gedeon. Comput. Methods Programs Biomed., 2012
515 citations recorded by the source corpus.
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.
Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/7cbe7e16e1b8335f9e92abe05b8c04b7425ed61f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cardiology and Cardiovascular Medicine
- Dimitris Grigoriadis
- Giorgos Giannakakis
- Katerina Giannakaki
- Olympia Simantiraki
- Manolis Tsiknakis
- Alexandros Roniotis
In Experimental and Cognitive Psychology
- Dimitris Grigoriadis
- Giorgos Giannakakis
- Katerina Giannakaki
- Olympia Simantiraki
- Manolis Tsiknakis
- Alexandros Roniotis
- C. Brewster
Citations in the corpus
- Computer Vision and Image Understanding (2016, methodology): “Stress has a severe impact on the immune and cardiovascular systems if it is sufficiently powerful to overcome defence mechanisms, ( Sharma and Gedeon, 2012 ).”
- Review on Psychological Stress Detection Using Biosignals (2019, background): “Although there are some surveys on this area [179, 267, 268], there is lack of a comprehensive guidelines on the relationship between the multitude of biosignal features used in the literature and their corresponding capacity to predict stress.”
- Conceptualising the future of HRM and technology research (2016, background): “At the same time, once available for employees such sensing will ultimately put extra responsibilities on them to monitor and manage their work-stress level (Sharma & Gedeon, 2012).”