IP Verse

Monitoring The Performance Of Physical Exercises - EP3574828

The patent EP3574828 was granted to Kaia Health Software on Dec 30, 2020. The application was originally filed on May 28, 2018 under application number EP18174657A. The patent is currently recorded with a legal status of "Opposition Rejected".

EP3574828

KAIA HEALTH SOFTWARE
Application Number
EP18174657A
Filing Date
May 28, 2018
Status
Opposition Rejected
May 19, 2023
Publication Date
Dec 30, 2020
External Links
Slate, Register, Google Patents

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WYNNE JONESJul 6, 2021WYNNE JONES -

Patent Citations (16) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication Number
DESCRIPTIONUS2013226039
OPPOSITIONCN105787439
OPPOSITIONCN107103613
OPPOSITIONEP2612221
OPPOSITIONEP2969079
OPPOSITIONJP2016080671
OPPOSITIONUS2012190505
OPPOSITIONUS2013226039
OPPOSITIONUS2015325004
OPPOSITIONUS2017087416
OPPOSITIONUS2017177930
OPPOSITIONUS2018018779
OPPOSITIONUS9154739
OPPOSITIONWO2015164421
SEARCHUS2018018779
SEARCHUS9154739

Non-Patent Literature (NPL) Citations (34) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference Text
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DESCRIPTION- J MARTINEZ; R HOSSAIN; J ROMERO; J J LITTLE, "A simple yet effective baseline for 3d human pose estimation", IEEE International Conference on Computer Vision, vol. 206, (20170500), page 3, URL: https://arxiv.org/abs/1705.03098
DESCRIPTION- M R HOSSAIN; J J LITTLE, "Exploiting temporal information for 3D pose estimation", CoRR, (20170000), URL: https://arxiv.org/abs/1711.08585
DESCRIPTION- X ZHOU; Q HUANG; X SUN; X XUE; Y WEI, "Towards 3d human pose estimation in the wild: a weakly-supervised approach", IEEE International Conference on Computer Vision, (20171000), URL: https://arxiv.org/abs/1704.02447
DESCRIPTION- A Newell, K Yang and J Deng, "Stacked hourglass networks for human pose estimation", European Conference on Computer Vision, doi:doi:10.1007/978-3-319-46484-8_29, ( ), pages 483 - 499, URL: https://arxiv.org/abs/1603.06937, XP047362404
OPPOSITION- "About ExRx.net", (20220814), URL: https://exrx.net/People/Contact
OPPOSITION- "ACSM's resource manual for Guidelines for exercise testing and prescription", (20220814), URL: https://adams.marmot.org/Record/.b26146459
OPPOSITION- Andrew G Howard; Zhu Menglong; Chen Bo; Kalenichenko Dmitry; Wang Weijun; Weyand Tobias; Andreetto Marco; Adam Hartwig, "Mobilenets: Efficient convolutional neural networks for mobile vision applications", arXiv preprint arXiv:1704.04861, pages 1 - 9, URL: https://arxiv.org/abs/1704.04861, XP055556718
OPPOSITION- CAROLINE ROUGIER et al., "Procrustes Shape Analysis for Fall Detection", THE EIGHTH INTERNATIONAL WORKSHOP ON VISUAL SURVEILLANCE, Marseille, (20081017), XP055521763
OPPOSITION- F. AHMED et al., "Kinect-based gait recognition using sequences of the most relevant joint relative angles", Journal of WSCG, (20150000), vol. 23, no. 2, pages 147 - 156, XP055827619
OPPOSITION- F. MUIJZER, "Development of an automated exercise Detection and Evaluation system using the Kinect depth camera", Thesis, (20140000), pages 1 - 113, XP055455927
OPPOSITION- H. M. HONDORI et al., "A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation", Journal of Medical Engineering (Hindawi Publishing Corporation, (20140000), vol. 2014, pages 1 - 17, XP055827635
OPPOSITION- Mir Rayat Imtiaz Hossain; James J Little, "Exploiting temporal information for 3D pose estimation", arXiv.org, pages 1 - 17, URL: https://arxiv.org/abs/1711.08585, XP081299061
OPPOSITION- S. JIANG et al., "Real Time Gait Recognition System Based on Kinect Skeleton Feature", Computer Vision -ACCV 2014 Workshops, Cham, (20150000), pages 46 - 57, XP055827613
OPPOSITION- S. LARABA et al., "3D skeleton-based action recognition by representing motion capture sequences as 2D-RGB images", Computer Animation and Virtual Worlds, (20170000), vol. 28, no. 3-4, pages 1 - 11, XP055827631
OPPOSITION- T. B. MOESLUND et al., "Chapter 8", Visual Analysis of Humans Looking at People, (20110000), pages 131 - 137, ISBN 978-0-85729-996-3, XP055494675
OPPOSITION- W. CHO et al., "Human action classification using procrustes shape theory (SPIE/ IS &T Electronic Imaging", SPIE/ IS &T Electronic Imaging, (20150000), pages 1 - 7, XP055827625
OPPOSITION- F. BOGO et al., "Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image", Cham, (20160000), doi:10.1007/978-3-319-46454-1_34, pages 561 - 578, XP055767630
OPPOSITION- NEWELL ALEJANDRO et al., "Stacked Hourglass Networks for Human Pose Estimation", INTERNATIONAL CONFERENCE ON SIMULATION, MODELING, AND PROGRAMMING FOR AUTONOMOUS ROBOTS, SIMPAR 2010; [LECTURE NOTES IN COMPUTER SCIENCE ; LECT.NOTES COMPUTER, SPRINGER, BERLIN, HEIDELBERG, (20160917), ISBN 978-3-642-17318-9, pages 483 - 499, XP047362404
OPPOSITION- X. PEREZ-SALA et al., "Subspace procrustes analysis", International journal of computer vision, (20170000), vol. 121, no. 3, doi:10.1007/s11263-016-0938-x, pages 327 - 343, XP036152488
OPPOSITION- J. C. NUNE et al., "Convolutional neural networks and long short-term memory for skeleton- based human activity and hand gesture recognition", Pattern Recognition, (20180000), vol. 76, doi:10.1016/j.patcog.2017.10.033, pages 80 - 94, XP085329761
OPPOSITION- W. ZHAO et al., "Rule-Based Human Motion Tracking for Rehabilitation Exercises: Realtime Assessment, Feedback, and Guidance", IEEEAccess, (20170000), vol. 5, doi:10.1109/ACCESS.2017.2759801, pages 21382 - 21394, XP011672198
OPPOSITION- DENNIS G ROMERO LOPEZ et al., "Movement analysis in learning by repetitive recall. An approach for automatic assistance in physiotherapy", BIOSIGNALS AND BIOROBOTICS CONFERENCE (BRC, (20120109), ISBN 978-1-4673-2476-2, pages 1 - 8, XP032189694
OPPOSITION- L. PISHCHULIN et al., "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation", 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR, (20160000), doi:10.1109/CVPR.2016.533, pages 4929 - 4937, XP033021686
OPPOSITION- B. A. H. KARGAR et al., "Automatic measurement of physical mobility in Get-Up-and-Go Test using kinect sensor", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (20140000), doi:10.1109/EMBC.2014.6944375, pages 3492 - 3495, XP032674533
OPPOSITION- J. CANCELA et al., "Proposal of a KinectTM-based system for gait assessment and rehabilitation in Parkinson's disease", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ y, (20140000), doi:10.1109/EMBC.2014.6944628, pages 4519 - 4522, XP032675515
OPPOSITION- Martinez Julieta; Hossain Rayat; Romero Javier; Little James J, "A simple yet effective baseline for 3d human pose estimation", IEEE International Conference on Computer Vision, vol. 206, (20170500), pages 2659 - 2668, URL: https://arxiv.org/abs/1705.03098, XP033283131
OPPOSITION- Zhou Xingyi; Huang Qixing; Sun Xiao; Xue Xiangyang; Wei Yichen, "Towards 3d human pose estimation in the wild: a weakly-supervised approach", IEEE International Conference on Computer Vision, (20171000), pages 398 - 407, URL: https://arxiv.org/abs/1704.02447, XP033282894
OPPOSITION- M. YE et al., "Gait phase classification for in-home gait assessment", 2017 IEEE International Conference on Multimedia and Expo (ICME, (20170000), doi:10.1109/ICME.2017.8019500, pages 1524 - 1529, XP033146716
OPPOSITION- W. Z. W. Z. ABIDDIN et al., "Development of MATLAB Kinect Skeletal Tracking System (MKSTS) for gait analysis", 2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE, (20160000), doi:10.1109/ISCAIE.2016.7575066, pages 216 - 220, XP032970694
OPPOSITION- Dushyant Mehta; Srinath Sridhar; Oleksandr Sotnychenko; Helge Rhodin; Mohammad Shafiei; Hans-Peter Seidel; Weipeng Xu; Dan Casas; Christian Theobalt, "VNect: real-time 3D human pose estimation with a single RGB camera", ACM Trans. Graph., (20170000), vol. 36, no. 4, XP058372818
SEARCH- CAROLINE ROUGIER ET AL, "Procrustes Shape Analysis for Fall Detection", THE EIGHTH INTERNATIONAL WORKSHOP ON VISUAL SURVEILLANCE, Marseille, (20081017), XP055521763 [I] 1-10,14,15 * abstract * * Sections 3, 4 and 6.2. * * the whole document * [A] 11-13
SEARCH- NEWELL ALEJANDRO ET AL, Stacked Hourglass Networks for Human Pose Estimation, INTERNATIONAL CONFERENCE ON SIMULATION, MODELING, AND PROGRAMMING FOR AUTONOMOUS ROBOTS,SIMPAR 2010; [LECTURE NOTES IN COMPUTER SCIENCE; LECT.NOTES COMPUTER], SPRINGER, BERLIN, HEIDELBERG, PAGE(S) 483 - 499, (20160917), ISBN 978-3-642-17318-9, XP047362404 [AD] 1-15 * the whole document *
SEARCH- DENNIS G ROMERO LOPEZ ET AL, "Movement analysis in learning by repetitive recall. An approach for automatic assistance in physiotherapy", BIOSIGNALS AND BIOROBOTICS CONFERENCE (BRC), 2012 ISSNIP, IEEE, (20120109), doi:10.1109/BRC.2012.6222163, ISBN 978-1-4673-2476-2, pages 1 - 8, XP032189694 [A] 1-15 * the whole document *

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