This paper is in the following e-collection/theme issue:

mHealth for Rehabilitation (352) New Methods (1134) Portable and Mobile Technologies for Rehabilitation (198)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19608, first published .
Accuracy of Monocular Two-Dimensional Pose Estimation Compared With a Reference Standard for Kinematic Multiview Analysis: Validation Study

Accuracy of Monocular Two-Dimensional Pose Estimation Compared With a Reference Standard for Kinematic Multiview Analysis: Validation Study

Accuracy of Monocular Two-Dimensional Pose Estimation Compared With a Reference Standard for Kinematic Multiview Analysis: Validation Study

Authors of this article:

Oskar Stamm1 Author Orcid Image ;   Anika Heimann-Steinert1 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

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  2. Schall A, Tesky V, Pantel J. Nichtpharmakologische Interventionen bei Demenz. DMW - Deutsche Medizinische Wochenschrift 2022;147(04):165 View
  3. Hammadi Y, Grondin F, Ferland F, Lebel K. Evaluation of Various State of the Art Head Pose Estimation Algorithms for Clinical Scenarios. Sensors 2022;22(18):6850 View
  4. Tesky V, Schall A, Pantel J. Nichtmedikamentöse Interventionen für Menschen mit Demenz. Die Innere Medizin 2023;64(2):139 View
  5. Strutz N, Brodowski H, Kiselev J, Heimann-Steinert A, Müller-Werdan U. App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study. JMIR Aging 2022;5(3):e36872 View
  6. Singh A, Bevilacqua A, Nguyen T, Hu F, McGuinness K, O’Reilly M, Whelan D, Caulfield B, Ifrim G. Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Mining and Knowledge Discovery 2023;37(2):873 View
  7. Liu X, Nikkhoo M, Wang L, Chen C, Chen H, Chen C, Cheng C. Feasibility of a kinect-based system in assessing physical function of the elderly for home-based care. BMC Geriatrics 2023;23(1) View
  8. Adolf J, Kán P, Feuchtner T, Adolfová B, Doležal J, Lhotská L. Offistretch: camera-based real-time feedback for daily stretching exercises. The Visual Computer 2025;41(3):1555 View
  9. van den Hoorn W, Fabre A, Nardese G, Su E, Cutbush K, Gupta A, Kerr G. The Future of Clinical Active Shoulder Range of Motion Assessment, Best Practice, and Its Challenges: Narrative Review. Sensors 2025;25(3):667 View
  10. Saito A, Sai N, Kurotaki K, Komatsu A, Morichi S, Kizawa S. Gait Analysis Using Walking-Generated Acceleration Obtained from Two Sensors Attached to the Lower Legs. Sensors 2025;25(14):4527 View
  11. van den Hoorn W, Lavaill M, Hollman F, Valero R, Bruyer-Montéléone F, Cutbush K, Gupta A, Kerr G. Comparison of 2D-pose with 3D motion capture methods for assessment of active shoulder range of motion. Shoulder & Elbow 2025 View
  12. Liu H, Shou Z, Yuan X, Huang J. A review of learner posture recognition for smart education. International Journal of Intelligent Computing and Cybernetics 2025;18(4):856 View

Books/Policy Documents

  1. Klamroth-Marganska V, Giovanoli S, Easthope C, Schönhammer J. Neurorehabilitation Technology. View
  2. Kemmler W. Artificial Intelligence in Sports, Movement, and Health. View