An AI-Edge Platform with Multimodal Wearable Physiological Signals Monitoring Sensors for Affective Computing Applications

ISCAS(2020)

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摘要
An AI-edge affective computing platform with wearable electroencephalogram, electrocardiogram, and photoplethysmogram sensors will be demonstrated [1]. This live demonstration is composed of three physiological sensors, real-time displayed signals, and emotion classification results on a laptop. During the live demonstration, The visitor can monitor his/her emotion classification result every second and the physiological signals displayed on GUI on the laptop.
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关键词
Emotion recognition,physiological signals,affective computing,multimodal analysis,convolutional neural network
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