Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Suranga Nanayakkara"'
Autor:
Vipula Dissanayake, Sachith Seneviratne, Rajib Rana, Elliott Wen, Tharindu Kaluarachchi, Suranga Nanayakkara
Publikováno v:
IEEE Access, Vol 10, Pp 18105-18120 (2022)
Extracting emotions from physiological signals has become popular over the past decade. Recent advancements in wearable smart devices have enabled capturing physiological signals continuously and unobtrusively. However, signal readings from different
Externí odkaz:
https://doaj.org/article/c56c1c32abb746688b5d8dc32d41805a
Autor:
Nastaran Saffaryazdi, Syed Talal Wasim, Kuldeep Dileep, Alireza Farrokhi Nia, Suranga Nanayakkara, Elizabeth Broadbent, Mark Billinghurst
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Emotions are multimodal processes that play a crucial role in our everyday lives. Recognizing emotions is becoming more critical in a wide range of application domains such as healthcare, education, human-computer interaction, Virtual Reality, intell
Externí odkaz:
https://doaj.org/article/453449fab21d485cb75b2708e2f32c79
Publikováno v:
IEEE Access, Vol 8, Pp 176274-176285 (2020)
Emotion Recognition is a challenging research area given its complex nature, and humans express emotional cues across various modalities such as language, facial expressions, and speech. Representation and fusion of features are the most crucial task
Externí odkaz:
https://doaj.org/article/ac896cc9ea6b4326b2621a61c8fd9f63
Publikováno v:
Sensors, Vol 21, Iss 7, p 2514 (2021)
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or Machine Learning (ML) field is undergoing rapid growth concerning research and real-world application development. Deep Learning has generated complexities in
Externí odkaz:
https://doaj.org/article/3994b8697cef4978a6c6d851023dbcd4
Publikováno v:
Education Sciences, Vol 10, Iss 7, p 177 (2020)
It has been shown that combining data from multiple sources, such as observations, self-reports, and performance with physiological markers offers better insights into cognitive-affective states during the learning process. Through a study with 12 ki
Externí odkaz:
https://doaj.org/article/ece7b88924944e348b01428c67c26d12
Publikováno v:
Sensors, Vol 20, Iss 10, p 2882 (2020)
Stress is a naturally occurring psychological response and identifiable by several body signs. We propose a novel way to discriminate acute stress and relaxation, using movement and posture characteristics of the foot. Based on data collected from 23
Externí odkaz:
https://doaj.org/article/9847708753ba43cab34ade30c2a9bcd6
Publikováno v:
International Journal of Human–Computer Interaction. 39:1963-1980
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f484674cad3da76aed433289071b9b8e
https://doi.org/10.1080/10447318.2022.2163240
https://doi.org/10.1080/10447318.2022.2163240
Publikováno v:
ACM Transactions on Embedded Computing Systems. 22:1-19
Open source hardware such as RISC-V has been gaining substantial momentum. Recently, they have begun to embrace Google’s Android operating system to leverage its software ecosystem. Despite the encouraging progress, a challenging issue arises: a ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f117c86f59a0c1a61981b8a1897be3e
https://doi.org/10.1145/3530286
https://doi.org/10.1145/3530286
Autor:
Vipula Dissanayake, Vanessa Tang, Don Samitha Elvitigala, Elliott Wen, Michelle Wu, Suranga Nanayakkara
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-22
Emotional Self-Awareness (ESA) plays a vital role in physical and mental well-being. Recent advancements in artificial intelligence technologies have shown promising emotion recognition results, opening new opportunities to build systems to support E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7a37fdb43a72547eaeea4629943fd13
https://doi.org/10.1145/3546738
https://doi.org/10.1145/3546738
Publikováno v:
GetMobile: Mobile Computing and Communications. 26:34-38
Micro-learning [1], cognitive training, and even memory training [2] are a few examples of applications that have been made easier-to-use and more available with mobile, wearable, and ubiquitous technologies. Many of them are also presented through c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca19226c0cd257cc34c50b9746c8c81
https://doi.org/10.1145/3551670.3551681
https://doi.org/10.1145/3551670.3551681