References
[1]. Arpaia, P., Moccaldi, N., Prevete, R., Sannino, I., &
Tedesco, A. (2020). A wearable EEG instrument for realtime
frontal asymmetry monitoring in worker stress analysis.
IEEE Transactions on Instrumentation and Measurement,
69(10), 8335-8343.
[2]. Bobade, P., & Vani, M. (2020, July). Stress detection with
machine learning and deep learning using multimodal
physiological data. In 2020, Second International
Conference on Inventive Research in Computing
Applications (ICIRCA) (pp. 51-57). IEEE.
[3]. Giannakakis, G., Pediaditis, M., Manousos, D.,
Kazantzaki, E., Chiarugi, F., Simos, P. G., ..., & Tsiknakis, M.
(2017). Stress and anxiety detection using facial cues from
videos. Biomedical Signal Processing and Control, 31, 89-
101.
[4]. Global Organization for Stress on Stress Facts. (2020).
Retrieved from http://www.gostress.com/stress-facts
[5]. Kim, J., & André, E. (2008). Emotion recognition based
on physiological changes in music listening. IEEE
Transactions on Pattern Analysis and Machine Intelligence,
30(12), 2067-2083.
[6]. Koldijk, S., Neerincx, M. A., & Kraaij, W. (2016).
Detecting work stress in offices by combining unobtrusive
sensors. IEEE Transactions on Affective Computing, 9(2),
227-239.
[7]. Koldijk, S., Sappelli, M., Verberne, S., Neerincx, M. A., &
Kraaij, W. (2014, November). The swell knowledge work
dataset for stress and user modeling research. In
th Proceedings of the 16 International Conference on
Multimodal Interaction (pp. 291-298). https://doi.org/10.1
145/2663204.2663257
[8]. Minguillon, J., Perez, E., Lopez-Gordo, M. A., Pelayo, F.,
& Sanchez-Carrion, M. J. (2018). Portable system for realtime
detection of stress level. Sensors, 18(8), 2504.
https://doi.org/10.3390/s18082504
[9]. Padmaja, B., Prasad, V. R., & Sunitha, K. V. N. (2018). A
machine learning approach for stress detection using a
wireless physical activity tracker. International Journal of
Machine Learning and Computing, 8(1), 33-38. https://doi.
org/10.18178/ijmlc.2018.8.1.659
[10]. Sarkar, B. (2020, December 7). Seven in 10 Indian
workers say they're experiencing stress at work on weekly
basis: Report. The Economic Times. Retrieved from
https://economictimes.indiatimes.com/news/company/c
orporate-trends/seven-in-10-indian-workers-say-theyreexperiencing-
stress-at-work-on-weekly-basis-report/articles
how/79607886.cms?from=mdr
[11]. Schmidt, P., Reiss, A., Duerichen, R., Marberger, C., &
Van Laerhoven, K. (2018, October). Introducing WESAD, a
multimodal dataset for wearable stress and affect
detection. In Proceedings of the 20th ACM International
Conference on Multimodal Interaction (pp. 400-408).
https://doi.org/10.1145/3242969.3242985
[12]. Spiers, D. L. (2016). Facial emotion detection using
deep learning. (Degree project). Department of Information
Technology, Uppsala University, Sweden.