Personalized Stress Detection from Physiological Measurements
نویسندگان
چکیده
This paper describes a study on continuous, nonintrusive stress detection from physiological measurements, involving data collection, feature extraction, and model construction. We built a personalized stress detection model based on Support Vector Machines, and evaluated it on the collected data. Experimental results show that our model can detect stress with high precision.
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