Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Marten den Uyl"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319494081
ECCV Workshops (3)
ECCV Workshops (3)
This paper explores the capabilities of convolutional neural networks to deal with a task that is easily manageable for humans: perceiving 3D pose of a human body from varying angles. However, in our approach, we are restricted to using a monocular v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::810db88ff134b83429ea3671f6f4a307
https://doi.org/10.1007/978-3-319-49409-8_5
https://doi.org/10.1007/978-3-319-49409-8_5
Publikováno v:
ICMI
This demonstration paper presents the FaceReader framework where human face image and skin color variations are analyzed for observing facial expressions, vital signs including but not limited to average heart rate (HR), heart rate variability (HRV)
Publikováno v:
ICIP
This paper proposes a remote photoplethysmography measurement technique where human skin color variations are analysed for observing human vital signs including but not limited to average heart rate and variation. Remote monitoring of the vital signs
Autor:
Willem A. Melder, B. Stock Plum, David A. van Leeuwen, Mark A. Neerincx, Lodewijk R. Loos, Marten den Uyl, Khiet P. Truong
Publikováno v:
HCM@MM
In this paper, we present a multimodal affective mirror that senses and elicits laughter. Currently, the mirror contains a vocal and a facial affect-sensing module, a component that fuses the output of these two modules to achieve a user-state assess
Publikováno v:
Machine Learning: ECML 2005 ISBN: 9783540292432
ECML
ECML
Automatic facial expression recognition is a research topic with interesting applications in the field of human-computer interaction, psychology and product marketing. The classification accuracy for an automatic system which uses static images as in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88cab522e5cb9b03297f6a1a87db459b
https://doi.org/10.1007/11564096_22
https://doi.org/10.1007/11564096_22