Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Felix Putze"'
Autor:
Birte Richter, Felix Putze, Gabriel Ivucic, Mara Brandt, Christian Schütze, Rafael Reisenhofer, Britta Wrede, Tanja Schultz
Publikováno v:
Multimodal Technologies and Interaction, Vol 7, Iss 4, p 37 (2023)
In this paper, we investigate the effect of distractions and hesitations as a scaffolding strategy. Recent research points to the potential beneficial effects of a speaker’s hesitations on the listeners’ comprehension of utterances, although resu
Externí odkaz:
https://doaj.org/article/0999dfe7789e4672b4c41dd36627365e
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
Often, various modalities capture distinct aspects of particular mental states or activities. While machine learning algorithms can reliably predict numerous aspects of human cognition and behavior using a single modality, they can benefit from the c
Externí odkaz:
https://doaj.org/article/9b381e7008d64d00803757004f85943e
Publikováno v:
Frontiers in Computer Science, Vol 3 (2022)
Physical, social and cognitive activation is an important cornerstone in non-pharmacological therapy for People with Dementia (PwD). To support long-term motivation and well-being, activation contents first need to be perceived positively. Prompting
Externí odkaz:
https://doaj.org/article/c34bdc5bf85249e0af9e12a738deeed3
Publikováno v:
Sensors, Vol 22, Iss 16, p 6160 (2022)
As lightweight, low-cost EEG headsets emerge, the feasibility of consumer-oriented brain–computer interfaces (BCI) increases. The combination of portable smartphones and easy-to-use EEG dry electrode headbands offers intriguing new applications and
Externí odkaz:
https://doaj.org/article/7eddb2d371724c8f86647bcc6bf7f697
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
It has been shown that conclusions about the human mental state can be drawn from eye gaze behavior by several previous studies. For this reason, eye tracking recordings are suitable as input data for attentional state classifiers. In current state-o
Externí odkaz:
https://doaj.org/article/6468e40361b84c39af3046e840f5366d
Autor:
Felix Putze, Athanasios Vourvopoulos, Anatole Lécuyer, Dean Krusienski, Sergi Bermúdez i Badia, Timothy Mullen, Christian Herff
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Externí odkaz:
https://doaj.org/article/0c5068dd23ef46eeb9eff40a71b0837f
Autor:
Lisa-Marie Vortmann, Felix Putze
Publikováno v:
Sensors, Vol 21, Iss 24, p 8205 (2021)
Statistical measurements of eye movement-specific properties, such as fixations, saccades, blinks, or pupil dilation, are frequently utilized as input features for machine learning algorithms applied to eye tracking recordings. These characteristics
Externí odkaz:
https://doaj.org/article/dc09505c97054241b003cb374a7a71b8
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
One problem faced in the design of Augmented Reality (AR) applications is the interference of virtually displayed objects in the user's visual field, with the current attentional focus of the user. Newly generated content can disrupt internal thought
Externí odkaz:
https://doaj.org/article/8dcca9904c8447cc8eb6305e4d239fbf
Autor:
Tanja Schultz, Felix Putze, Lars Steinert, Ralf Mikut, Anamaria Depner, Andreas Kruse, Ingo Franz, Philipp Gaerte, Todor Dimitrov, Tobias Gehrig, Jana Lohse, Clarissa Simon
Publikováno v:
Geriatrics, Vol 6, Iss 2, p 51 (2021)
I-CARE is a hand-held activation system that allows professional and informal caregivers to cognitively and socially activate people with dementia in joint activation sessions without special training or expertise. I-CARE consists of an easy-to-use t
Externí odkaz:
https://doaj.org/article/83a82a4cd03d4a7da0ad012b7861ea3a
Publikováno v:
Information, Vol 12, Iss 6, p 226 (2021)
Augmented reality is the fusion of virtual components and our real surroundings. The simultaneous visibility of generated and natural objects often requires users to direct their selective attention to a specific target that is either real or virtual
Externí odkaz:
https://doaj.org/article/30d3f2219d42480d90fd664d1060c81b