CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition

29 February 2024

Papers citing "CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition"

7 / 7 papers shown

Title
ActiNet: Activity intensity classification of wrist-worn accelerometers using self-supervised deep learning Aidan Acquah Shing Chan Aiden Doherty 72 0 0 02 Oct 2025
SlotFM: A Motion Foundation Model with Slot Attention for Diverse Downstream Tasks Junyong Park Oron Levy Rebecca Adaimi Asaf Liberman Gierad Laput Abdelkareem Bedri 55 0 0 25 Sep 2025
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks Forsad Al Hossain Tauhidur Rahman 106 0 0 16 May 2025
Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models Abram Schonfeldt Benjamin Maylor Xiaofang Chen Ronald Clark Aiden Doherty 272 0 0 06 May 2025
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers Niels R. Lorenzen P. Jennum Emmanuel Mignot A. Brink-Kjaer 171 0 0 17 Feb 2025
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging TaskProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2024 H. Haresamudram Chi Ian Tang Sungho Suh P. Lukowicz Thomas Ploetz 362 10 0 11 Nov 2024
MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition Stefan Gerd Fritsch Cennet Oğuz Vitor Fortes Rey L. Ray Maximilian Kiefer-Emmanouilidis Paul Lukowicz HAI 359 2 0 06 Jun 2024