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

An AI-edge affective computing platform with wearable electroencephalogram, electrocardiogram, and photoplethys-mogram 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. Du...

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Bibliographic Details
Published in2021 IEEE International Symposium on Circuits and Systems (ISCAS) p. 1
Main Authors Li, Wei-Chih, Yang, Cheng-Jie, Liu, Bo-Ting, Fang, Wai-Chi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2021
Subjects
Affective computing
Biomedical monitoring
Monitoring
Portable computers
Sensor systems and applications
Wearable computers
Wearable sensors
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Summary:An AI-edge affective computing platform with wearable electroencephalogram, electrocardiogram, and photoplethys-mogram 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.
ISBN:9781728192017
1728192013
ISSN:2158-1525
2158-1525
DOI:10.1109/ISCAS51556.2021.9401484