Live demonstration: An AI-edge platform with multimodal wearable physiological signals monitoring sensors for affective computing applications

Wei Chih Li, Cheng Jie Yang, Bo Ting Liu, Wai-Chi Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728192017
DOIs
StatePublished - 22 May 2021
Event53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
Duration: 22 May 202128 May 2021

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2021-May
ISSN (Print)0271-4310

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
Country/TerritoryKorea, Republic of
CityDaegu
Period22/05/2128/05/21

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