IP Verse

Monitoring The Performance Of Physical Exercises - EP3753489

The patent EP3753489 was granted to Kaia Health Software on Jan 5, 2022. The application was originally filed on May 28, 2018 under application number EP20190118A. The patent is currently recorded with a legal status of "Granted And Under Opposition".

EP3753489

KAIA HEALTH SOFTWARE
Application Number
EP20190118A
Filing Date
May 28, 2018
Status
Granted And Under Opposition
Dec 3, 2021
Publication Date
Jan 5, 2022
External Links
Slate, Register, Google Patents

Patent Summary

Patent Family

Patent Family

Patent Oppositions

Patent oppositions filed by competitors challenge the validity of a granted patent. These oppositions are typically based on claims of prior art, lack of novelty, or non-obviousness. They are a key part of the process for determining a patent's strength and enforceability.

CompanyOpposition DateRepresentativeOpposition Status

Get instant alerts for new oppositions and patent status changes

WYNNE JONESOct 5, 2022WYNNE JONESWITHDRAWN

Patent Citations (15) 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
SEARCHUS9154739

Non-Patent Literature (NPL) Citations (32) 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
DESCRIPTION- A G HOWARDM ZHUB CHEND KALENICHENKOW WANGT WEYANDM ANDREETTOH ADAM, "Mobilenets: Efficient convolutional neural networks for mobile vision applications", arXiv preprint arXiv: 1704.04861, (20170000), URL: https://arxiv.org/abs/1704.04861
DESCRIPTION- A G HOWARDM ZHUB CHEND KALENICHENKOW WANGT WEYANDM ANDREETTOH ADAM, "Mobilenets: Efficient convolutional neural networks for mobile vision applications", arXiv preprint arXiv:1704.04861, (20170000), URL: https://arxiv.org/abs/1704.04861
DESCRIPTION- J MARTINEZR HOSSAINJ ROMEROJ 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 HOSSAINJ J LITTLE, "Exploiting temporal information for 3D pose estimation", CoRR, (20170000), URL: https://arxiv.org/abs/1711.08585
DESCRIPTION- "Stacked hourglass networks for human pose estimation", A NEWELLK YANGJ DENG, European Conference on Computer Vision, Springer International Publishing, (20161000), pages 483 - 499
DESCRIPTION- X ZHOUQ HUANGX SUNX XUEY 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
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, (20170417), pages 1 - 9, arXiv, URL: https://arxiv.org/pdf/1704.04861.pdf, (20190214), XP055556718
OPPOSITION- CAROLINE ROUGIER et al., "Procrustes Shape Analysis for Fall 17.10.2008 Detection", THE EIGHTH INTERNATIONAL WORKSHOP ON VISUAL SURVEILLANCE, (20081017), XP055521763
OPPOSITION- Cho W., Et Al., "Human action classification using procrustes shape theory", SPIE/ IS &T Electronic Imaging, (20150101), pages 1 - 7, SPIE/ IS &T Electronic Imaging, (20210726), XP055827625
OPPOSITION- F. AHMED et al., "Kinect-based 2015 gait recognition using sequences of the most relevant joint relative angles", Journal of WSCG, (20150000), vol. 23, no. 1, pages 147 - 156, XP055827619
OPPOSITION- Frodo Muijzer, Dr Prof, Ir H J, Hermens, "DEVELOPMENT OF AN AUTOMATED EXERCISE DETECTION AND EVALUATION SYSTEM USING THE KINECT DEPTH CAMERA", (20140129), URL: http://essay.utwente.nl/64507/2/Muijzer_MA_EWI.pdf, (20180301), XP055455927
OPPOSITION- Hondori H. M., Et Al., "A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation", Journal of Medical Engineering (Hindawi Publishing Corporation, (20140101), pages 1 - 17, Journal of Medical Engineering (Hindawi Publishing Corporation, (20210726), XP055827635
OPPOSITION- Laraba S., Et Al., "3D skeleton-based action recognition by representing motion capture sequences as 2D-RGB images", Computer Animation and Virtual Worlds, (20170101), vol. 28, no. 3-4, pages 1 - 11, XP055827631
OPPOSITION- Martinez Julieta, Hossain Rayat, Romero Javier, Little James J, "A simple yet effective baseline for 3d human pose estimation", URL: https://arxiv.org/pdf/1705.03098v1.pdf, (20210817), XP055832499
OPPOSITION- Mir Rayat Imtiaz Hossain; James J. Little, "Exploiting temporal information for 3D pose estimation", arXiv.org, Cornell University Library, 201 Olin Library Cornell University Ithaca, NY 14853, 201 Olin Library Cornell University Ithaca, NY 14853 , (20171123), XP080839620
OPPOSITION- S. JIANG et al., "Real Time Gait 2015 Recognition System Based on Kinect Skeleton Feature", Computer Vision - ACCV 2014 Workshops, Cham, (20150000), pages 46 - 57, XP055827613
OPPOSITION- Thomas B. Moeslund, Adrian Hilton, "Visual Analysis of Humans: Looking at People", Thomas B. Moeslund, Adrian Hilton, Moeslund T. B. (editor), Visual analysis of humans : looking at people, London , Springer , (20111008), pages ToC,Ch01,Ch06,Ch08 - Ch18,Ch23,Ch25-Ch27,Ch30,Ind, ISBN 978-0-85729-996-3, XP055494675
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, XP047355099
OPPOSITION- NEWELL ALEJANDRO et al., "Stacked Hourglass Networks for 17.09.2016 Human Pose Estimation", INTERNATIONAL CONFERENCE ON SIMULATION, MODELING, AND PROGRAMMING FOR AUTONOMOUS ROBOTS, BERLIN, HEIDELBERG, (20160917), ISBN 978-3-642-17318-9, XP047362404
OPPOSITION- X. PEREZ-SALA et al., "Subspace procrustes analysis", International journal of computer vision, (20160827), vol. 121, no. 3, doi:10.1007/s11263-016-0938-x, pages 327 - 343, XP036152488
OPPOSITION- J. C. NUNEZ et al., "Convolutional neural networks and long short-term memory for skeleton-based human activity and hand gesture recognition", Pattern Recognition, (20170000), vol. 76, doi:10.1016/j.patcog.2017.10.033, pages 80 - 94, XP085329761
OPPOSITION- W. ZHAO et al., "Rule-Based 06.10.2017 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 09.01.2012 learning by repetitive recall. An approach for automatic assistance in physiotherapy", BIOSIGNALS AND BIOROBOTICS CONFERENCE (BRC, (20120109), pages 1 - 8, XP032189694
OPPOSITION- L. PISHCHULIN et al., "DeepCut: Joint Subset Partition and 2016 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- Cancela Jorge; Arredondo Maria T.; Hurtado Olivia, "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 Society, IEEE, (20140826), doi:10.1109/EMBC.2014.6944628, pages 4519 - 4522, XP032675515
OPPOSITION- X ZHOU et al., "Towards 3d human 30.07.2017 pose estimation in the wild: a weakly-supervised approach", IEEE International Conference on Computer Vision, (20171000), URL: https://arxiv.org/abs/1704.02447, XP033282894
OPPOSITION- M. YE et al., "Gait 2017 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- D. MEHTA et al., "VNect: real-time 3D human pose estimation 07.2017 with a single RGB camera", ACM Trans. Graph., (20170000), vol. 36, no. 4, doi:10.1145/3072959.3073596, XP058372818
SEARCH- CAROLINE ROUGIER ET AL, "Procrustes Shape Analysis for Fall Detection", THE EIGHTH INTERNATIONAL WORKSHOP ON VISUAL SURVEILLANCE, Marseille, (20081017), XP055521763 [I] 12,15,16 * abstract * * Sections 3, 4 and 6.2. * * the whole document * [A] 1-10
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] 1-10,12,15,16 * the whole document *

Download Citation Report

Get a free citation report including examiner, opposition, and international search citations.

Get Citation Report

Dossier Documents

The dossier documents provide a comprehensive record of the patent’s prosecution history - including filings, correspondence, and decisions made by patent offices - and are crucial for understanding the patent’s legal journey and any challenges it may have faced during examination.

  • Date

    Description

  • Get instant alerts for new documents