Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Systematic Study on Unimodal and Multimodal Human Computer Interface for Emotion Recognition Subject The topic of the resource Emotion Recognition; Human Computer Interface; Machine Learning; Multimodal; Unimodal Description An account of the resource A systematic study for human-computer interface (HCI) for emotion recognition is presented in this paper, with a focus on various methods used to identify and interpret human emotions. It delves into various methods used to identify and interpret human emotions and highlights the limitations of unimodal HCI for emotion recognition systems. The paper emphasizes the benefits of multimodal HCI and how combining different types of data can lead to more accurate results. Additionally, it highlights the importance of using multiple modalities for emotion recognition. The study has significant implications for mental health assessments and interventions as it offers insights into the latest techniques and advancements in emotion recognition. Future research can use these insights to improve the accuracy of emotion recognition systems, ultimately leading to better mental health assessments and interventions. Overall, the paper provides a valuable contribution to the field of HCI and emotion recognition, and it underscores the importance of taking a multimodal approach for this critical area of research. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Ahmad A.; Singh V.; Upreti K. Source A related resource from which the described resource is derived Studies in Computational Intelligence, Vol-1145 SCI, pp. 363-375. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-53717-2_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-53717-2_35</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188016919&amp;doi=10.1007%2F978-3-031-53717-2_35&amp;partnerID=40&amp;md5=d1c0935172363a978b8ba2b85316a524" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188016919&amp;doi=10.1007%2f978-3-031-53717-2_35&amp;partnerID=40&amp;md5=d1c0935172363a978b8ba2b85316a524</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1860949X; ISBN: 978-303153716-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ahmad A., Department of Computer Science, Maharishi University of Information Technology, Lucknow, India; Singh V., Department of Computer Science, Maharishi University of Information Technology, Lucknow, India; Upreti K., Department of Computer Science, CHRIST (Deemed to Be University), Delhi NCR, Ghaziabad, India