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Human stress classification during public speaking using physiological signals
by Aamir Arsalan
A novel multimodal stress recognition scheme using a fusion of features from BVP, HR, ST, GSR, and respiratory rate (RR) in response to the mental arithmetic task has been proposed in Ref. [59]. An accuracy of 83% and 72% is achieved for two and three class stress classification, respectively.🏁
Submitted by lego - 06/14/2025
Academia Educational 5.67 Ranked
Global Leaderboard
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Human stress classification during public speaking using physiological signals
by Aamir Arsalan
A novel multimodal stress recognition scheme using a fusion of features from BVP, HR, ST, GSR, and respiratory rate (RR) in response to the mental arithmetic task has been proposed in Ref. [59]. An accuracy of 83% and 72% is achieved for two and three class stress classification, respectively.🏁
Submitted by lego - 06/14/2025
Academia Educational 5.67 Ranked