Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Martin Schels"'
Autor:
Esra Acar Celik, Carmen Cârlan, Asim Abdulkhaleq, Fridolin Bauer, Martin Schels, Henrik J. Putzer
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031148347
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a79b0ec0d547b14c5445f75f15ff0b98
https://doi.org/10.1007/978-3-031-14835-4_21
https://doi.org/10.1007/978-3-031-14835-4_21
Publikováno v:
Journal on Multimodal User Interfaces. 10:151-162
The focus of this work is emotion recognition in the wild based on a multitude of different audio, visual and meta features. For this, a method is proposed to optimize multi-modal fusion architectures based on evolutionary computing. Extensive uni- a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02ae0ee9c520105795f39bd1f02fcf4d
https://doi.org/10.1007/s12193-015-0202-7
https://doi.org/10.1007/s12193-015-0202-7
Autor:
Michael Glodek, Martin Schels, Patrick Thiam, Ingo Siegert, Markus Kächele, Sascha Meudt, Miriam Schmidt-Wack, Gerald Krell, Ronald Böck, Andreas Wendemuth, Friedhelm Schwenker
Publikováno v:
Cognitive Technologies ISBN: 9783319436647
Companion Technology
Companion Technology
In general, humans interact with each other using multiple modalities. The main channels are speech, facial expressions, and gesture. But also bio-physiological data such as biopotentials can convey valuable information which can be used to interpret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f6ef3d7b82d00ee129fa88181c803c7
https://doi.org/10.1007/978-3-319-43665-4_19
https://doi.org/10.1007/978-3-319-43665-4_19
Publikováno v:
Journal on Multimodal User Interfaces. 8:257-272
The recognition of patterns in real-time scenarios has become an important trend in the field of multi-modal user interfaces in human computer interaction. Cognitive technical systems aim to improve the human computer interaction by means of recogniz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05eb5b5641ed1bd522432cd3a8c4cf4c
https://doi.org/10.1007/s12193-014-0149-0
https://doi.org/10.1007/s12193-014-0149-0
Autor:
Steffen Walter, David Hrabal, Markus Kächele, Friedhelm Schwenker, Michael Glodek, Martin Schels
Publikováno v:
Journal on Multimodal User Interfaces. 8:5-16
The individual nature of physiological measurements of human affective states makes it very difficult to transfer statistical classifiers from one subject to another. In this work, we propose an approach to incorporate unlabeled data into a supervise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89b9dd6c44653cb217db3e278d245832
https://doi.org/10.1007/s12193-013-0133-0
https://doi.org/10.1007/s12193-013-0133-0
Publikováno v:
Frontiers in ICT, Vol 3 (2016)
The integration of emotions into human–computer interaction applications promises a more natural dialog between the user and the technical system operators. In order to construct such machinery, continuous measuring of the affective state of the us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::40c45f734bf86165b350ca954d3925c1
Publikováno v:
Computational Statistics. 28:127-138
Estimation of probability density functions (PDF) is a fundamental concept in statistics. This paper proposes an ensemble learning approach for density estimation using Gaussian mixture models (GMM). Ensemble learning is closely related to model aver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ed59fe19563920fa6973f0709c0672
https://doi.org/10.1007/s00180-012-0374-5
https://doi.org/10.1007/s00180-012-0374-5
Autor:
Tobias Brosch, Michael Glodek, Martin Schels, Günther Palm, Friedhelm Schwenker, Heiko Neumann, Stefan Scherer, Stephan Tschechne, Georg Layher, Miriam Schmidt
Publikováno v:
Journal on Multimodal User Interfaces. 6:117-141
The analysis of affective or communicational states in human-human and human-computer interaction (HCI) using automatic machine analysis and learning ap- proaches often suffers from the simplicity of the approaches or that very ambitious steps are of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d58ffd163e721db776e2c855b6e7e7e
https://doi.org/10.1007/s12193-012-0093-9
https://doi.org/10.1007/s12193-012-0093-9
Publikováno v:
SSCI
Affect recognition is an inherently multi-modal task that makes it appealing to investigate classifier combination approaches in real world scenarios. Thus a variety of different independent classifiers can be constructed from basically independent f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6a5e688b88edcff6ad2c330532e5d3f
https://doi.org/10.1109/ssci.2015.53
https://doi.org/10.1109/ssci.2015.53
Autor:
Stefan Scherer, Günther Palm, Friedhelm Schwenker, Michael Glodek, Martin Schels, Hans A. Kestler
Publikováno v:
Computational Statistics. 28:5-18
One way to tackle brain computer interfaces is to consider event related potentials in electroencephalography, like the well established P300 phenomenon. In this paper a multiple classifier approach to discover these events in the bioelectrical signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::244b488d7556b493a68860f7cf06131e
https://doi.org/10.1007/s00180-011-0292-y
https://doi.org/10.1007/s00180-011-0292-y