Patient MoCap: Human pose estimation under blanket occlusion for hospital monitoring applications

Achilles F, Ichim AE, Coskun H, Tombari F, Noachtar S, Navab N (2016)

Publication Type: Conference contribution

Publication year: 2016

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 9900 LNCS

Pages Range: 491-499

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Athens, GRC

ISBN: 9783319467191

DOI: 10.1007/978-3-319-46720-7_57

Abstract

Motion analysis is typically used for a range of diagnostic procedures in the hospital. While automatic pose estimation from RGBD input has entered the hospital in the domain of rehabilitation medicine and gait analysis,no such method is available for bed-ridden patients. However,patient pose estimation in the bed is required in several fields such as sleep laboratories,epilepsy monitoring and intensive care units. In this work,we propose a learning-based method that allows to automatically infer 3D patient pose from depth images. To this end we rely on a combination of convolutional neural network and recurrent neural network,which we train on a large database that covers a range of motions in the hospital bed. We compare to a state of the art pose estimation method which is trained on the same data and show the superior result of our method. Furthermore,we show that our method can estimate the joint positions under a simulated occluding blanket with an average joint error of 7.56 cm.

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) École Polytechnique Fédérale de Lausanne (EPFL) CH Switzerland (CH) Ludwig-Maximilians-Universität (LMU) DE Germany (DE)

How to cite

APA:

Achilles, F., Ichim, A.E., Coskun, H., Tombari, F., Noachtar, S., & Navab, N. (2016). Patient MoCap: Human pose estimation under blanket occlusion for hospital monitoring applications. In Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 491-499). Athens, GRC: Springer Verlag.

MLA:

Achilles, Felix, et al. "Patient MoCap: Human pose estimation under blanket occlusion for hospital monitoring applications." Proceedings of the 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, GRC Ed. Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Springer Verlag, 2016. 491-499.

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