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

Journals

1. Akbari G, Nikkhoo M, Wang L, Chen C, Han D, Lin Y, Chen H, Cheng C. Frailty Level Classification of the Community Elderly Using Microsoft Kinect-Based Skeleton Pose: A Machine Learning Approach. Sensors 2021;21(12):4017 View
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 2024 View

Books/Policy Documents

1. Klamroth-Marganska V, Giovanoli S, Easthope C, Schönhammer J. Neurorehabilitation Technology. View