HIGHLIGHTS
- who: Sara Campanella et al. from the Department of Information Engineering (DII), Universitu00e0 Politecnica delle Marche, Ancona, Italy have published the article: A Method for Stress Detection Using Empatica E4 Bracelet and Machine-Learning Techniques, in the Journal: Sensors 2023, 23, 3565. of /2023/
- what: Based on the protocol for data pre-processing this study proposes to analyze signals obtained from the using machine-learning algorithms (Random Forest SVM and Logistic Regression) to determine the efficacy of the abovementioned techniques in differentiating between stressful and non-stressful situations. As previously said, several physiological signals can . . .
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