Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Meeting analysis"'
Autor:
Kazuhiro Otsuka, Masahiro Tsumori
Publikováno v:
IEEE Access, Vol 8, Pp 217169-217195 (2020)
A functional head-movement corpus and convolutional neural networks (CNNs) for detecting head-movement functions are presented for analyzing the multiple communicative functions of head movements in multiparty face-to-face conversations. First, focus
Externí odkaz:
https://doaj.org/article/c96f47bbbb1d42d583b525de6661365f
Autor:
Ko Watanabe, Yusuke Soneda, Yuki Matsuda, Yugo Nakamura, Yutaka Arakawa, Andreas Dengel, Shoya Ishimaru
Publikováno v:
Sensors, Vol 21, Iss 17, p 5719 (2021)
The emergence of various types of commercial cameras (compact, high resolution, high angle of view, high speed, and high dynamic range, etc.) has contributed significantly to the understanding of human activities. By taking advantage of the character
Externí odkaz:
https://doaj.org/article/003609abb6df406c9935ea9c680d3025
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-14 (2017)
Abstract Automatic prediction of personalities from meeting videos is a classical machine learning problem. Psychologists define personality traits as uncorrelated long-term characteristics of human beings. However, human annotations of personality t
Externí odkaz:
https://doaj.org/article/1ddfeea9b8004277aae639a3afc5d266
Publikováno v:
Journal of Strength and Conditioning Research. 35:1467-1476
There is currently a lack of consensus as to what defines exercise and resistance training in the cancer setting and whether current studies comply with exercise guidelines. This study aimed to quantify the available research studies using resistance
Meetings are an important part of our daily lives. Formal or informal, in-person or remote, they are something unavoidable in our society. In companies they assume even greater importance, being decisive for the definition of their present and future
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2292::3bcfafe4e390037c59b2e112675e5c91
http://hdl.handle.net/10773/33618
http://hdl.handle.net/10773/33618
Autor:
Andreas Dengel, Yuki Matsuda, Ko Watanabe, Yusuke Soneda, Shoya Ishimaru, Yugo Nakamura, Yutaka Arakawa
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 17
Sensors, Vol 21, Iss 5719, p 5719 (2021)
Sensors
Volume 21
Issue 17
Sensors, Vol 21, Iss 5719, p 5719 (2021)
The emergence of various types of commercial cameras (compact, high resolution, high angle of view, high speed, and high dynamic range, etc.) has contributed significantly to the understanding of human activities. By taking advantage of the character
In this paper we present the idea of extracting keywords from discussions, with the point of using these words to recuperate, for each small piece of conversation and generating reports to individuals. Regardless, even a smaller piece contains a blen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::6182dd947cadfec4eaffcde8990e6cd4
https://zenodo.org/record/5847640
https://zenodo.org/record/5847640
Autor:
Wodak, Ruth, author
Publikováno v:
Language and Communication at Work : Discourse, Narrativity, and Organizing, 2014, ill.
Externí odkaz:
https://doi.org/10.1093/acprof:oso/9780198703082.003.0003
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-14 (2017)
Automatic prediction of personalities from meeting videos is a classical machine learning problem. Psychologists define personality traits as uncorrelated long-term characteristics of human beings. However, human annotations of personality traits int
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