@inproceedings{8ae1d128dd21487fb39849416f66e3a5,
title = "Live demonstration: An AI-edge platform with multimodal wearable physiological signals monitoring sensors for affective computing applications",
abstract = "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.",
author = "Li, {Wei Chih} and Yang, {Cheng Jie} and Liu, {Bo Ting} and Wai-Chi Fang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 ; Conference date: 22-05-2021 Through 28-05-2021",
year = "2021",
month = may,
day = "22",
doi = "10.1109/ISCAS51556.2021.9401484",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings",
address = "美國",
}