Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mimansa Jaiswal"'
Autor:
Matthew Perez, Mimansa Jaiswal, Minxue Niu, Cristina Gorrostieta, Matthew Roddy, Kye Taylor, Reza Lotfian, John Kane, Emily Mower Provost
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::523dcf89a52c11a6f2f56faf6a6bbeec
https://doi.org/10.21437/interspeech.2022-10943
https://doi.org/10.21437/interspeech.2022-10943
Autor:
Mimansa Jaiswal
Publikováno v:
AAAI
Many mobile applications and virtual conversational agents now aim to recognize and adapt to emotions. These predicted emotions are used in variety of downstream applications: (a) generating more human like dialogues, (b) predicting mental health iss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac73ee0c6963e983450b4ece5eb6e54
https://doi.org/10.1609/aaai.v34i10.7130
https://doi.org/10.1609/aaai.v34i10.7130
Publikováno v:
ICMI
Various psychological factors affect how individuals express emotions. Yet, when we collect data intended for use in building emotion recognition systems, we often try to do so by creating paradigms that are designed just with a focus on eliciting em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::953a62d2adfd27158727dcb8f92bc16a
https://doi.org/10.1145/3340555.3353731
https://doi.org/10.1145/3340555.3353731
Autor:
Zakaria Aldeneh, Cristian-Paul Bara, Mimansa Jaiswal, Rada Mihalcea, Yuanhang Luo, Mihai Burzo, Emily Mower Provost
Publikováno v:
ICASSP
Emotion recognition algorithms rely on data annotated with high quality labels. However, emotion expression and perception are inherently subjective. There is generally not a single annotation that can be unambiguously declared "correct". As a result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8346b47aca564a66857494a3b568a9a5
https://doi.org/10.1109/icassp.2019.8682793
https://doi.org/10.1109/icassp.2019.8682793
Autor:
Mimansa Jaiswal, Emily Mower Provost
Publikováno v:
AAAI
Many mobile applications and virtual conversational agents now aim to recognize and adapt to emotions. To enable this, data are transmitted from users' devices and stored on central servers. Yet, these data contain sensitive information that could be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73d1e352aa888b705fb7c992573779f3
Publikováno v:
INTERSPEECH
Bipolar disorder, a severe chronic mental illness characterized by pathological mood swings from depression to mania, requires ongoing symptom severity tracking to both guide and measure treatments that are critical for maintaining long-term health.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39667f0489b78911faab354f4cb8a47f
Publikováno v:
INTERSPEECH
Bipolar Disorder is a chronic psychiatric illness characterized by pathological mood swings associated with severe disruptions in emotion regulation. Clinical monitoring of mood is key to the care of these dynamic and incapacitating mood states. Freq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8228f3b12bccd26d593b7c570813d8c9
http://arxiv.org/abs/1806.10658
http://arxiv.org/abs/1806.10658
Publikováno v:
ICDM Workshops
We propose a data-driven method for automatic deception detection in real-life trial data using visual and verbal cues. Using OpenFace with facial action unit recognition, we analyze the movement of facial features of the witness when posed with ques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::134fb4b4afc9878c0afc85a0b4833f74
https://doi.org/10.1109/icdmw.2016.0137
https://doi.org/10.1109/icdmw.2016.0137