@inproceedings{237b8c733a3040ca8fda573c058a512c,
title = "Human pose estimation from pressure sensor data",
abstract = "In-bed motion monitoring has become of great interest for a variety of clinical applications. In this paper, we introduce a hashbased learning method to retrieve human poses from pressure sensors data in real time considering temporal correlation between poses. The basis of our approach is a multimodal database describing different in-bed activities. Database entries have been created using an array of pressure sensors and an additional motion capture system. Our results show good performance even in poses where the subject has minimal contact with the sensors.",
author = "Leslie Casas and Chris M{\"u}rwald and Felix Achilles and Diana Mateus and Dietrich Huber and Nassir Navab and Stefanie Demirci",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag GmbH Deutschland 2018.; Workshop on Bildverarbeitung fur die Medizin, 2018 ; Conference date: 11-03-2018 Through 13-03-2018",
year = "2018",
doi = "10.1007/978-3-662-56537-7_77",
language = "English",
isbn = "9783540295945",
series = "Informatik aktuell",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "285--290",
editor = "Andreas Maier and Deserno, {Thomas M.} and Heinz Handels and Maier-Hein, {Klaus H.} and Christoph Palm and Thomas Tolxdorff",
booktitle = "Informatik aktuell",
}