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pro vyhledávání: '"Gyanendra K. Verma"'
Autor:
Gyanendra, K. Verma
Affective computing is an emerging field situated at the intersection of artificial intelligence and behavioral science. Affective computing refers to studying and developing systems that recognize, interpret, process, and simulate human emotions. It
Publikováno v:
Bulletin of the Australian Mathematical Society. 107:330-341
Wu and Shi [‘A note on k-Galois LCD codes over the ring $\mathbb {F}_q + u\mathbb {F}_q$ ’, Bull. Aust. Math. Soc.104(1) (2021), 154–161] studied $ k $ -Galois LCD codes over the finite chain ring $\mathcal {R}=\mathbb {F}_q+u\mathbb {F}_q$ , w
Autor:
Roopa Golchha, Gyanendra K Verma
Publikováno v:
2023 IEEE 8th International Conference for Convergence in Technology (I2CT).
Autor:
Gyanendra K. Verma
Publikováno v:
Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis ISBN: 9789815124453
This chapter introduces an emotion recognition system based on audio and video cues. For audio-based emotion recognition, we have explored various aspects of feature extraction and classification strategy and found that wavelet analysis is sound. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb1f3ec699ba8fd36fdf62dd0a0a0d70
https://doi.org/10.2174/9789815124453123010011
https://doi.org/10.2174/9789815124453123010011
Autor:
Gyanendra K. Verma
Publikováno v:
Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis ISBN: 9789815124453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf0a188a130c3819d3d310e58fbe6995
https://doi.org/10.2174/9789815124453123010014
https://doi.org/10.2174/9789815124453123010014
Autor:
Gyanendra K. Verma
Publikováno v:
Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis ISBN: 9789815124453
This chapter presents a state-of-the-art review of existing emotion theory, modeling approaches, and affective information extraction and processing methods. The basic theory of emotions deals with Darwin's evolutionary theory, Schechter's theory of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::575fe436c28ed329ca034e055bf617f2
https://doi.org/10.2174/9789815124453123010006
https://doi.org/10.2174/9789815124453123010006
Autor:
Gyanendra K. Verma
Publikováno v:
Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis ISBN: 9789815124453
This chapter presents a brief overview of Affective computing and a formal definition of emotion given by various researchers. Human-computer interaction aims to enhance communication between man and machine so that machines can acquire, analyze, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf341b9bd535d1f6675b0b4fcac0efa1
https://doi.org/10.2174/9789815124453123010005
https://doi.org/10.2174/9789815124453123010005
Autor:
Gyanendra K. Verma
Publikováno v:
Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis ISBN: 9789815124453
With the invention of high-power computing systems, machines are expected to show intelligence at par with human beings. A machine must be able to analyze and interpret emotions to demonstrate intelligent behavior. Affective computing not only helps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f5145a5b2aa98ea5426f2243163bb3
https://doi.org/10.2174/9789815124453123010004
https://doi.org/10.2174/9789815124453123010004
Autor:
Gyanendra K. Verma
Publikováno v:
Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis ISBN: 9789815124453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e3e541fe616ca1fe175d68d84f35b83
https://doi.org/10.2174/9789815124453123010003
https://doi.org/10.2174/9789815124453123010003
Autor:
Gyanendra K. Verma
Publikováno v:
Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis ISBN: 9789815124453
The multimodal information can be assimilated at three levels 1) early fusion, 2) intermediate fusion, and 3) late fusion. Early fusion can be performed at the sensor or signal level. Intermediate fusion can be at the feature level, and late fusion m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ad40da0d99fdf331d0891a31ba2e73
https://doi.org/10.2174/9789815124453123010008
https://doi.org/10.2174/9789815124453123010008