Everyday Living Artificial Intelligence Hub

Raymond L Finzel, Esha Singh, Martin Michalowski, Serguei Pakhomov, Maria Gini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the Everyday Living Artificial Intelligence (AI) Hub, a novel proof-of-concept framework for enhancing human health and wellbeing via a combination of tailored wearable and Conversational Agent (CA) solutions for non-invasive monitoring of physiological signals, assessment of behaviors through unobtrusive wearable devices, and the provision of personalized interventions to reduce stress and anxiety. We utilize recent advancements and industry standards in Internet of Things (IoT) and AI technologies to develop this proof-of-concept framework.

Original languageEnglish (US)
Title of host publicationDaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop
Subtitle of host publicationLanguage Advances, Proceedings
EditorsEduard Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic
PublisherAssociation for Computational Linguistics (ACL)
Pages102-104
Number of pages3
ISBN (Electronic)9781954085398
StatePublished - 2021
Event2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, DaSH-LA 2021 - Virtual, Online
Duration: Jun 11 2021 → …

Publication series

NameDaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings

Conference

Conference2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, DaSH-LA 2021
CityVirtual, Online
Period6/11/21 → …

Bibliographical note

Publisher Copyright:
© 2021 Association for Computational Linguistics

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