An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices

Author:

Ninh Van-Tu,Nguyen Manh-Duy,Smyth Sinéad,Tran Minh-Triet,Healy Graham,Nguyen Binh T.,Gurrin Cathal

Publisher

Springer International Publishing

Reference27 articles.

1. Can, Y.S., Chalabianloo, N., Ekiz, D., Ersoy, C.: Continuous stress detection using wearable sensors in real life: algorithmic programming contest case study. Sensors (Basel, Switzerland) 19 (2019)

2. Chen, W.V., Jaques, N., Taylor, S., Sano, A., Fedor, S., Picard, R.W.: Wavelet-based motion artifact removal for electrodermal activity. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6223–6226 (2015)

3. Choi, J., Ahmed, B., Gutierrez-Osuna, R.: Development and evaluation of an ambulatory stress monitor based on wearable sensors. IEEE Trans. Inf. Technol. Biomed. 16(2), 279–286 (2011)

4. Elgendi, M., Norton, I., Brearley, M., Abbott, D., Schuurmans, D.: Systolic peak detection in acceleration photoplethysmograms measured from emergency responders in tropical conditions. PLoS One 8(10), e76585 (2013)

5. Gjoreski, M.: Continuos Stress Monitoring using a Wrist Device and a Smartphone. Ph.D. thesis, Jožef Stefan International Postgraduate School, Ljubljana, Slovenia (09 2016)

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