Title
Automatic infant 2D pose estimation from videos: comparing seven deep neural network methods Filipe Gama Matej Misar Lukas Navara S. T. Popescu Matej Hoffmann 3DH 147 2 0 25 Jun 2024
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors Einari Vaaras Manu Airaksinen S. Vanhatalo Okko Räsänen 102 4 0 16 May 2023
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study Omar Elnaggar Roselina Arelhi Frans Coenen A. Hopkinson L. Mason Paolo Paoletti 54 0 0 04 Jan 2023
Infant movement classification through pressure distribution analysis Tomas Kulvicius Dajie Zhang K. Nielsen‐Saines Sven Bolte M. Kraft Christa Einspieler Luise Poustka Florentin Wörgötter Peter B Marschik 76 10 0 26 Jul 2022
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies Omar Elnaggar Frans Coenen A. Hopkinson L. Mason Paolo Paoletti 66 1 0 22 May 2022
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors Manu Airaksinen S. Vanhatalo Okko Räsänen 46 4 0 02 Jul 2021
Unsupervised Human Pose Estimation through Transforming Shape Templates Luca Schmidtke Athanasios Vlontzos Simon Ellershaw Anna Lukens T. Arichi Bernhard Kainz 3DH 73 37 0 10 May 2021
Invariant Representation Learning for Infant Pose Estimation with Small Data Xiaofei Huang Nihang Fu Shuangjun Liu Sarah Ostadabbas 3DH 86 43 0 13 Oct 2020