Multi-Level Stress Detection using Ensemble Filter-based Feature Selection Method
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1916-1_13
Reference21 articles.
1. Schmidt P, Reiss A, Duerichen R, Marberger C, Van Laerhoven K (2018) 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
2. Nigam K, Godani K, Sharma D, Jain S (2021) An improved approach for stress detection using physiological signals. EAI Trans Scalable Inf Syst e11
3. Ninh VT, Nguyen MD, Smyth S, Tran MT, Healy G, Nguyen BT, Gurrin C (2022) An improved subject-independent stress detection model applied to consumer-grade wearable devices. arXiv:2203.09663
4. Schmidt P, Reiss A, Duerichen R, Van Laerhoven K (2018) Wearable affect and stress recognition: a review. arXiv:1811.08854
5. Ninh VT, Smyth S, Tran MT, Gurrin C (2022) Analysing the performance of stress detection models on consumer-grade wearable devices. arXiv:2203.09669
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