ACL Injury Risk Screening Based on the Landing Error Scoring System: Smartphone-Based Classification and Comparison Across Vertical Drop Jump Tasks

Authors: De Lazzari, Beatrice, De Bartolo, Enrico, Cannizzo, Emanuele, Baldazzi, Andrea, Camomilla, Valentina

Source: 2024 International Symposium on 3D Analysis of Human Movement (3DAHM) 3D Analysis of Human Movement (3DAHM), 2024 International Symposium on. :1-5 Dec, 2024

Relation: 2024 International Symposium on 3D Analysis of Human Movement (3DAHM)

Signal Processing and Feature Extraction in Markerless Telerehabilitation

Authors: Dellepiane, S.G., Ferraro, F., Baffigo, C., Simonini, M.

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Trans. Neural Syst. Rehabil. Eng. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. 33:911-924 2025

Human Kinematics Analysis by Markerless Vision Based on OpenSim

Authors: Zhang, Chi, Li, Yurong, Ye, Wangwei, Huang, Gaohua

Source: 2024 IEEE 5th International Conference on Pattern Recognition and Machine Learning (PRML) Pattern Recognition and Machine Learning (PRML), 2024 IEEE 5th International Conference on. :443-450 Jul, 2024

Relation: 2024 IEEE 5th International Conference on Pattern Recognition and Machine Learning (PRML)

MVINS: Tightly Coupled Mocap–Visual–Inertial Fusion for Global and Drift-Free Pose Estimation

Authors: Liu, M., Xie, L., Wang, W., Shi, Z., Chen, W., Yan, Y., Yin, E.

Source: IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 11(11):19776-19789 Jun, 2024

A Fast and Accurate Initialization Method for Mocap-Inertial Navigation System

Authors: Liu, M., Xie, L., Wang, W., Yan, Y., Yin, E.

Source: IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 24(6):8390-8402 Mar, 2024

A Novel Measurement Procedure for Error Correction in Single Camera Gait Analysis

Authors: Galasso, S., Carissimo, C., Cerro, G., Molinara, M., Ferrigno, L., Salvatore Calabro, R., Marco de Nunzio, A.

Source: IEEE Access Access, IEEE. 12:158052-158064 2024

Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone

Authors: Aderinola, T.B., Younesian, H., Whelan, D., Caulfield, B., Ifrim, G.

Source: IEEE Open Journal of Engineering in Medicine and Biology IEEE Open J. Eng. Med. Biol. Engineering in Medicine and Biology, IEEE Open Journal of. 4:109-115 2023

Experimental Setup for Markerless Motion Capture and Landmarks Detection using OpenPose During Dynamic Gait Index Measurement

Authors: Abd Shattar, Normurniyati, Gan, Kok Beng, Abd Aziz, Noor Syazwana

Source: 2021 7th International Conference on Space Science and Communication (IconSpace) Space Science and Communication (IconSpace), 2021 7th International Conference on. :286-289 Nov, 2021

Relation: 2021 7th International Conference on Space Science and Communication (IconSpace)

Towards balance assessment using Openpose

Authors: Li, Brighton, Williamson, James, Kelp, Nicole, Dick, Taylor, Bo, Antonio P. L.

Source: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2021 43rd Annual International Conference of the IEEE. :7605-7608 Nov, 2021

Relation: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Enhancing Tennis Serve Scoring Efficiency: An AI Deep Learning Approach

Authors: Jing-Wei Liu

Source: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 7, Pp 48-54 (2024)

Subject Terms: deep learning, internet of things, markerless motion capture, notational analysis, tennis techniques and tactics, video analysis, Technology

File Description: electronic resource

Relation: https://www.ijimai.org/journal/bibcite/reference/3461; https://doaj.org/toc/1989-1660

Access URL: https://doaj.org/article/4a8e60b591ee43df90c7c7a740e24afc

Computer vision for kinematic metrics of the drinking task in a pilot study of neurotypical participants

Authors: Justin Huber, Stacey Slone, Jihye Bae

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Subject Terms: Markerless motion capture, Neurorehabilitation, Upper extremity, Biomechanics, Machine learning, Human pose estimation, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/13ff3a8411784485ba319262a9063182

Exploring stroke survivors’ and physiotherapists’ perspectives of the potential for markerless motion capture technology in community rehabilitation

Authors: Alice Faux-Nightingale, Fraser Philp, Enza Leone, Brinton Boreman Helliwell, Anand Pandyan

Source: Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-11 (2024)

Subject Terms: Stroke, Stroke survivor, Stroke rehabilitation, Markerless motion capture, Community rehabilitation, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://doaj.org/toc/1743-0003

Access URL: https://doaj.org/article/88eb4a119982444aa8cd0a976c1d89ad

Evaluation of a smartphone-based markerless system to measure lower-limb kinematics in patients with knee osteoarthritis

Authors: Wang, Junqing ^{a, b, 1}, Xu, Wei ^{b, c, 1}, Wu, Zhuoying ^a, Zhang, Hui ^b, Wang, Biao ^b, Zhou, Zongke ^a, Wang, Chen ^d, Li, Kang ^b, Nie, Yong ^{a, ⁎}

Source: In Journal of Biomechanics March 2025 181

The Investigation of Drift and Drift Removal in Markerless Motion Capture Suit in Preparation for Cultural (Aeta) Dance Classification

Authors: Mindoro, Jennalyn N., Festijo, Enrique D., de Guzman, Ma. Teresa G.

Source: 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Computational Intelligence and Knowledge Economy (ICCIKE), 2021 International Conference on. :80-85 Mar, 2021

Relation: 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)

A Comparative Study of Deep Transfer Learning Techniques for Cultural (Aeta) Dance Classification utilizing Skeleton-Based Choreographic Motion Capture Data

Authors: Mindoro, Jennalyn N., Festijo, Enrique D., de Guzman, Ma. Teresa G.

Source: 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Computational Intelligence and Knowledge Economy (ICCIKE), 2021 International Conference on. :74-79 Mar, 2021

Relation: 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)

Markerless vision-based knee osteoarthritis classification using machine learning and gait videos

Authors: Slim Ben Hassine, Ala Balti, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi

Source: Frontiers in Signal Processing, Vol 4 (2024)

Subject Terms: knee osteoarthritis (KOA), gait analysis, machine learning, markerless motion capture, remote diagnostics, kinematic data, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frsip.2024.1479244/full; https://doaj.org/toc/2673-8198

Access URL: https://doaj.org/article/1c5b25ab3c0449f2af114b894cfd342d

Measuring static and dynamic lower limb alignment in patients with advanced knee osteoarthritis using markerless motion capture

Authors: Calderone, Jacob ^{a, ⁎}, Outerleys, Jereme ^{a, b}, Diaz Dilernia, Fernando ^c, Mann, Steve ^c, Wood, Gavin ^c, Deluzio, Kevin ^a, Laende, Elise ^a

Source: In Gait & Posture June 2025 119:157-162

Validation of markerless vision-based motion capture for ergonomics risk assessment

Authors: Bonakdar, Armin ^a, Riahi, Negar ^a, Shakourisalim, Maryam ^a, Miller, Linda ^{b, c}, Tavakoli, Mahdi ^d, Rouhani, Hossein ^{a, e, ⁎}, Golabchi, Ali ^{c, f}

Source: In International Journal of Industrial Ergonomics May 2025 107

Concurrent Validity of Depth-Sensor-Based Quantification of Compensatory Movements during the Swing Phase of Gait in Healthy Individuals

Authors: Kento Kusuda, Shigehito Matsubara, Daisuke Noguchi, Moe Kuwahara, Hiroomi Hamasaki, Toshihiro Miwa, Toru Maeda, Toshihito Nakanishi, Shogo Ninomiya, Keita Honda

Source: Biomechanics, Vol 4, Iss 3, Pp 411-427 (2024)

Subject Terms: markerless motion capture, depth sensor, validity study, abnormal gait pattern, kinematic, Mechanics of engineering. Applied mechanics, TA349-359, Descriptive and experimental mechanics, QC120-168.85

File Description: electronic resource

Relation: https://www.mdpi.com/2673-7078/4/3/28; https://doaj.org/toc/2673-7078

Access URL: https://doaj.org/article/250fa682c4fb4d0c8652f10babffc315

Optimisation and Comparison of Markerless and Marker-Based Motion Capture Methods for Hand and Finger Movement Analysis

Authors: Valentin Maggioni, Christine Azevedo-Coste, Sam Durand, François Bailly

Source: Sensors, Vol 25, Iss 4, p 1079 (2025)

Subject Terms: markerless motion capture, hand and finger kinematics, skeletal model, ecological movements, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/4/1079; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/8c821edb8b654ff4ad3526ddab90bd0a