Can smartphones detect stress-related changes in the behaviour of individuals?
Authors:
- 1 March 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 423-426
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.Keywords
This publication has 9 references indexed in Scilit:
- A mobile data collection platform for mental health researchPersonal and Ubiquitous Computing, 2011
- The social fMRI2011
- Wearable biomonitoring system for stress management: A preliminary study on robust ECG signal processing2011
- Socioscope: Human Relationship and Behavior Analysis in Social NetworksIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2011
- A Stress-Detection System Based on Physiological Signals and Fuzzy LogicIEEE Transactions on Industrial Electronics, 2011
- Inferring friendship network structure by using mobile phone dataProceedings of the National Academy of Sciences, 2009
- Analysis of Stress in speech using adaptive Empirical Mode Decomposition2009
- Stress Detection Using Speech Spectrograms and Sigma-pi Neuron Units2009
- About the relationship between people and discoverable Bluetooth devices in urban environments2007