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Cited by in F6Publishing
For: Benson LC, Räisänen AM, Clermont CA, Ferber R. Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis. Sensors (Basel) 2022;22. [PMID: 35270869 DOI: 10.3390/s22051722] [Cited by in Crossref: 11] [Cited by in F6Publishing: 5] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Miranda-Oliveira P, Branco M, Fernandes O. Accuracy and Interpretation of the Acceleration from an Inertial Measurement Unit When Applied to the Sprint Performance of Track and Field Athletes. Sensors (Basel) 2023;23. [PMID: 36850357 DOI: 10.3390/s23041761] [Reference Citation Analysis]
2 Wang X, Yu H, Kold S, Rahbek O, Bai S. Wearable sensors for activity monitoring and motion control: A review. Biomimetic Intelligence and Robotics 2023. [DOI: 10.1016/j.birob.2023.100089] [Reference Citation Analysis]
3 Slemenšek J, Fister I, Geršak J, Bratina B, van Midden VM, Pirtošek Z, Šafarič R. Human Gait Activity Recognition Machine Learning Methods. Sensors (Basel) 2023;23. [PMID: 36679546 DOI: 10.3390/s23020745] [Reference Citation Analysis]
4 Young F, Mason R, Morris R, Stuart S, Godfrey A. Internet-of-Things-Enabled Markerless Running Gait Assessment from a Single Smartphone Camera. Sensors (Basel) 2023;23. [PMID: 36679494 DOI: 10.3390/s23020696] [Reference Citation Analysis]
5 Khant M, Gouwanda D, Gopalai AA, Lim KH, Foong CC. Estimation of Lower Extremity Muscle Activity in Gait Using the Wearable Inertial Measurement Units and Neural Network. Sensors (Basel) 2023;23. [PMID: 36617154 DOI: 10.3390/s23010556] [Reference Citation Analysis]
6 Fohrmann D, Hamacher D, Sanchez-Alvarado A, Potthast W, Mai P, Willwacher S, Hollander K. Reliability of Running Stability during Treadmill and Overground Running. Sensors (Basel) 2022;23. [PMID: 36616946 DOI: 10.3390/s23010347] [Reference Citation Analysis]
7 Franco T, Sestrem L, Henriques PR, Alves P, Varanda Pereira MJ, Brandão D, Leitão P, Silva A. Motion Sensors for Knee Angle Recognition in Muscle Rehabilitation Solutions. Sensors (Basel) 2022;22:7605. [PMID: 36236708 DOI: 10.3390/s22197605] [Reference Citation Analysis]
8 Young F, Mason R, Wall C, Morris R, Stuart S, Godfrey A. Examination of a foot mounted IMU-based methodology for a running gait assessment. Front Sports Act Living 2022;4. [DOI: 10.3389/fspor.2022.956889] [Reference Citation Analysis]
9 Liang F, Gao F, Cao J, Law S, Liao W. Gait Synergy Analysis and Modeling on Amputees and Stroke Patients for Lower Limb Assistive Devices. Sensors 2022;22:4814. [DOI: 10.3390/s22134814] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
10 Preatoni E, Bergamini E, Fantozzi S, Giraud LI, Orejel Bustos AS, Vannozzi G, Camomilla V. The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review. Sensors 2022;22:3225. [DOI: 10.3390/s22093225] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]