The DOI matches its Crossref record.
Can smartphones detect stress-related changes in the behaviour of individuals?
Abstract
We describe initial results from an ongoing project to use mobile phone sensors to detect stress related situations. The questions that we address in this stage of our work in progress is whether differences between stressful and non stressful periods can be detected in information readily available on a smartphone such as location traces, BlueTooth devices seen during the day and phone call patterns. We present an experiment with 7 students who were monitored during a two week exam session (stressful situation) and the two following weeks (non stressful period). The results show that a behaviour modification can clearly be seen, although the exact interpretation and generalization requires further work and larger scale experiments.
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“Mobile phones have been used to monitor stress and mental health [4-10].”
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Research works printed but not linked: 12
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- 2011, PhoneSense '11, Collaborative Crowd Density Estimation with Mobile Phones
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- 10.1007/s00779-011-0465-2 · DOI
- 10.1073/pnas.0900282106 · DOI · Paper page
- duda, 2001, Pattern Classification (2nd Edition)
- 10.1109/TIE.2010.2103538 · DOI
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- 10.1109/ICNC.2009.59 · DOI
- 10.1109/TSMCA.2011.2113335 · DOI
- 10.1109/ACSSC.2009.5469829 · DOI
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Items 101–101 of 101
Assessing Human Stress Through Smartphone Usage
Sisodia, P. R., & Vijayalakshmi, A. (2019) · Lecture Notes in Electrical Engineering · doi:10.1007/978-981-13-5802-9_36
Metadata
- Authors
- Bauer, G., & Lukowicz, P.
- Affiliations
- University of Passau (DE)
- ORCID
- Lukowicz, Paul
- Venue
- 2012 IEEE International Conference on Pervasive Computing and Communications Workshops
- Publisher
- IEEE
- Published
- 2012-03
- Pages
- 423-426
- OpenAlex
- W2068349382
- Cited by
- 111
- References
- 0
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 3 · 2023: 9 · 2022: 7 · 2021: 11 · 2020: 10 · 2019: 10 · 2018: 7 · 2017: 9 · 2016: 16 · 2015: 12 · 2014: 6 · 2013: 3 · 2012: 1
- FWCI
- 5.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Keywords
- stress detection, smartphone sensors, mobile phone tracking, location traces, Bluetooth devices, behavior modification, exam stress, stress behavior
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