79 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of GöttingenDE7 papers
- Karolinska InstitutetSE5 papers
- Medical University of GrazAT5 papers
- Curtin UniversityAU4 papers
- Stockholm Health Care ServicesSE4 papers
- Universitätsmedizin GöttingenDE4 papers
- University of California, Los AngelesUS3 papers
- Heidelberg UniversityDE2 papers
- MSB Medical School BerlinDE2 papers
- University Hospital HeidelbergDE2 papers
- Bernstein Center for Computational Neuroscience GöttingenDE1 paper
- German Center for Neurodegenerative DiseasesDE1 paper
8 papers
Motion Transfer-Enhanced StyleGAN for Generating Diverse Macaque Facial Expressions
Takuya Igaue, Catia Correia-Caeiro, Akito Yoshida +2
Generating animal faces using generative AI techniques is challenging because the available training images are limited both in quantity and variation, particularly for facial expr…
Comparison of marker-less 2D image-based methods for infant pose estimation
Lennart Jahn, Sarah Flügge, Dajie Zhang +5
In this study we compare the performance of available generic- and infant-pose estimators for a video-based automated general movement assessment (GMA), and the choice of viewing a…
Deep learning empowered sensor fusion boosts infant movement classification
Tomas Kulvicius, Dajie Zhang, Luise Poustka +8
To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments…
Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning
Tomas Kulvicius, Sigrun Lang, Claudius AA Widmann +5
Theoretical background: early verbal development is not yet fully understood, especially in its formative phase. Research question: can a reliable, easy-to-use coding scheme for th…
Infant movement classification through pressure distribution analysis
Tomas Kulvicius, Dajie Zhang, Karin Nielsen-Saines +6
Aiming at objective early detection of neuromotor disorders such as cerebral palsy, we proposed an innovative non-intrusive approach using a pressure sensing device to classify inf…
Open video data sharing in developmental and behavioural science
Peter B Marschik, Tomas Kulvicius, Sarah Flügge +10
Video recording is a widely used method for documenting infant and child behaviours in research and clinical practice. Video data has rarely been shared due to ethical concerns of…
Action Prediction in Humans and Robots
Florentin Wörgötter, Fatemeh Ziaeetabar, Stefan Pfeiffer +3
Efficient action prediction is of central importance for the fluent workflow between humans and equally so for human-robot interaction. To achieve prediction, actions can be encode…
Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset
Anton M. Unakafov
Objective: to establish an algorithmic framework and a benchmark dataset for comparing methods of pulse rate estimation using imaging photoplethysmography (iPPG). Approach: first w…