Article

Multimodal Sleeping Posture Classification

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Koujuch LiouAuthors Info & Claims

ICPR '10: Proceedings of the 2010 20th International Conference on Pattern Recognition

Pages 4336 - 4339

https://doi.org/10.1109/ICPR.2010.1054

Published: 23 August 2010 Publication History

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Abstract

Sleeping posture reveals important information for eldercare and patient care, especially for bed ridden patients. Traditionally, some works address the problem from either pressure sensor or video image. This paper presents a multimodal approach to sleeping posture classification. Features from pressure sensor map and video image have been proposed in order to characterize the posture patterns. The spatiotemporal registration of the two modalities has been considered in the design, and the joint feature extraction and data fusion is presented. Using multi-class SVM, experiment results demonstrate that the multimodal approach achieves better performance than the approaches using single modal sensing.

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Nguyen HDang BDang TNguyen D(2024)A Pressure Sensor-based Sleeping Posture Classification using SNN model combined with CNN feature extractorProceedings of the International Conference on Computer Systems and Technologies 202410.1145/3674912.3674929(155-160)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3674912.3674929
Adhikari ASur S(2024)MiSleep: Human Sleep Posture Identification from Deep Learning Augmented Millimeter-wave Wireless SystemsACM Transactions on Internet of Things10.1145/36438665:2(1-33)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1145/3643866
Liu CDong ZHuang LYan WWang XFang DChen X(2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643512
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Published In

ICPR '10: Proceedings of the 2010 20th International Conference on Pattern Recognition

August 2010

4662 pages

ISBN:9780769541099

Publisher

IEEE Computer Society

United States

Publication History

Published: 23 August 2010

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Nguyen HDang BDang TNguyen D(2024)A Pressure Sensor-based Sleeping Posture Classification using SNN model combined with CNN feature extractorProceedings of the International Conference on Computer Systems and Technologies 202410.1145/3674912.3674929(155-160)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3674912.3674929
Adhikari ASur S(2024)MiSleep: Human Sleep Posture Identification from Deep Learning Augmented Millimeter-wave Wireless SystemsACM Transactions on Internet of Things10.1145/36438665:2(1-33)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1145/3643866
Liu CDong ZHuang LYan WWang XFang DChen X(2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643512
Roshini AKiran K(2022)An Enhanced Posture Prediction-Bayesian Network Algorithm for Sleep Posture Recognition in Wireless Body Area NetworksInternational Journal of Telemedicine and Applications10.1155/2022/31025452022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3102545
Breuss AVonau NUngricht CSchwarz EIrion MBradicich MGrewe FLiechti SThiel SKohler MRiener RWilhelm E(2022)Sleep Position Detection for Closed-Loop Treatment of Sleep-Related Breathing Disorders2022 International Conference on Rehabilitation Robotics (ICORR)10.1109/ICORR55369.2022.9896559(1-6)Online publication date: 25-Jul-2022
https://dl.acm.org/doi/10.1109/ICORR55369.2022.9896559
Onose R(2018)User-Friendly Design of Caregiving Support SystemProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3267318(535-540)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3267318
Onose REnokibori YMase KLee STakayama LTruong K(2017)Garment vs. bed-sheet sensorsProceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers10.1145/3123024.3123143(169-172)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3123024.3123143
Baran Pouyan MBirjandtalab JNourani MMatthew Pompeo M(2016)Automatic limb identification and sleeping parameters assessment for pressure ulcer preventionComputers in Biology and Medicine10.1016/j.compbiomed.2016.05.01775:C(98-108)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.compbiomed.2016.05.017
Torres CHammond SFried JManjunath B(2015)Sleep Pose Recognition in an ICU Using Multimodal Data and Environmental FeedbackProceedings of the 10th International Conference on Computer Vision Systems - Volume 916310.1007/978-3-319-20904-3_6(56-66)Online publication date: 6-Jul-2015
https://dl.acm.org/doi/10.1007/978-3-319-20904-3_6

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Active Multimodal Stimulation in Rehabilitation of paretic upper limb after stroke: technical procedure

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