These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
419 related articles for article (PubMed ID: 33631496)
1. A contactless method to measure real-time finger motion using depth-based pose estimation. Zhu Y; Lu W; Gan W; Hou W Comput Biol Med; 2021 Apr; 131():104282. PubMed ID: 33631496 [TBL] [Abstract][Full Text] [Related]
2. A hand motion capture method based on infrared thermography for measuring fine motor skills in biomedicine. Zhu Y; Guo C Artif Intell Med; 2023 Jan; 135():102474. PubMed ID: 36628786 [TBL] [Abstract][Full Text] [Related]
3. Agreement between Azure Kinect and Marker-Based Motion Analysis during Functional Movements: A Feasibility Study. Jo S; Song S; Kim J; Song C Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560187 [TBL] [Abstract][Full Text] [Related]
4. Effects of camera viewing angles on tracking kinematic gait patterns using Azure Kinect, Kinect v2 and Orbbec Astra Pro v2. Yeung LF; Yang Z; Cheng KC; Du D; Tong RK Gait Posture; 2021 Jun; 87():19-26. PubMed ID: 33878509 [TBL] [Abstract][Full Text] [Related]
5. Reliability and agreement of Azure Kinect and Kinect v2 depth sensors in the shoulder joint range of motion estimation. Özsoy U; Yıldırım Y; Karaşin S; Şekerci R; Süzen LB J Shoulder Elbow Surg; 2022 Oct; 31(10):2049-2056. PubMed ID: 35562032 [TBL] [Abstract][Full Text] [Related]
6. Dual-channel cascade pose estimation network trained on infrared thermal image and groundtruth annotation for real-time gait measurement. Zhu Y; Lu W; Zhang R; Wang R; Robbins D Med Image Anal; 2022 Jul; 79():102435. PubMed ID: 35398606 [TBL] [Abstract][Full Text] [Related]
7. Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study. Albert JA; Owolabi V; Gebel A; Brahms CM; Granacher U; Arnrich B Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32911651 [TBL] [Abstract][Full Text] [Related]
8. Comparison of Azure Kinect overground gait spatiotemporal parameters to marker based optical motion capture. Guess TM; Bliss R; Hall JB; Kiselica AM Gait Posture; 2022 Jul; 96():130-136. PubMed ID: 35635988 [TBL] [Abstract][Full Text] [Related]
9. Postural control assessment via Microsoft Azure Kinect DK: An evaluation study. Antico M; Balletti N; Laudato G; Lazich A; Notarantonio M; Oliveto R; Ricciardi S; Scalabrino S; Simeone J Comput Methods Programs Biomed; 2021 Sep; 209():106324. PubMed ID: 34375852 [TBL] [Abstract][Full Text] [Related]
10. Concurrent Validity of Motion Parameters Measured With an RGB-D Camera-Based Markerless 3D Motion Tracking Method in Children and Young Adults. Hesse N; Baumgartner S; Gut A; Van Hedel HJA IEEE J Transl Eng Health Med; 2024; 12():580-588. PubMed ID: 39155921 [TBL] [Abstract][Full Text] [Related]
11. Validity and reliability of Kinect skeleton for measuring shoulder joint angles: a feasibility study. Huber ME; Seitz AL; Leeser M; Sternad D Physiotherapy; 2015 Dec; 101(4):389-93. PubMed ID: 26050135 [TBL] [Abstract][Full Text] [Related]
12. Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables. Mentiplay BF; Perraton LG; Bower KJ; Pua YH; McGaw R; Heywood S; Clark RA J Biomech; 2015 Jul; 48(10):2166-70. PubMed ID: 26065332 [TBL] [Abstract][Full Text] [Related]
13. Wrist motion assessment using Microsoft Azure Kinect DK: A reliability study in healthy individuals. Królikowska A; Maj A; Dejnek M; Prill R; Skotowska-Machaj A; Kołcz A Adv Clin Exp Med; 2023 Feb; 32(2):203-209. PubMed ID: 36135819 [TBL] [Abstract][Full Text] [Related]
14. Reliability and validity analyzes of Kinect V2 based measurement system for shoulder motions. Çubukçu B; Yüzgeç U; Zileli R; Zileli A Med Eng Phys; 2020 Feb; 76():20-31. PubMed ID: 31882393 [TBL] [Abstract][Full Text] [Related]
15. Accurate estimation of joint motion trajectories for rehabilitation using Kinect. Sinha S; Bhowmick B; Sinha A; Das A Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3864-3867. PubMed ID: 29060741 [TBL] [Abstract][Full Text] [Related]
16. Accuracy of Monocular Two-Dimensional Pose Estimation Compared With a Reference Standard for Kinematic Multiview Analysis: Validation Study. Stamm O; Heimann-Steinert A JMIR Mhealth Uhealth; 2020 Dec; 8(12):e19608. PubMed ID: 33346739 [TBL] [Abstract][Full Text] [Related]
17. Ground reaction force and joint moment estimation during gait using an Azure Kinect-driven musculoskeletal modeling approach. Ripic Z; Kuenze C; Andersen MS; Theodorakos I; Signorile J; Eltoukhy M Gait Posture; 2022 Jun; 95():49-55. PubMed ID: 35428024 [TBL] [Abstract][Full Text] [Related]
18. Reliability and concurrent validity of the Microsoft Xbox One Kinect for assessment of standing balance and postural control. Clark RA; Pua YH; Oliveira CC; Bower KJ; Thilarajah S; McGaw R; Hasanki K; Mentiplay BF Gait Posture; 2015 Jul; 42(2):210-3. PubMed ID: 26009500 [TBL] [Abstract][Full Text] [Related]
19. Measurement of body joint angles for physical therapy based on mean shift tracking using two low cost Kinect images. Chen YC; Lee HJ; Lin KH Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():703-6. PubMed ID: 26736359 [TBL] [Abstract][Full Text] [Related]
20. The validity of the first and second generation Microsoft Kinect™ for identifying joint center locations during static postures. Xu X; McGorry RW Appl Ergon; 2015 Jul; 49():47-54. PubMed ID: 25766422 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]