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Cited article:

Objective gait analysis using Kinect v2® for the prognosis of walking during the acute phase of rehabilitation after proximal femoral fracture surgery

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Frontiers in Rehabilitation Sciences 6 (2025)
https://doi.org/10.3389/fresc.2025.1527825

Gait Analysis Using an Artificial Intelligence-Based Motion Capture System With a Single Smartphone Camera

Takuya Usami, Masaya Kisohara, Kazuki Nishida, Daishiro Koboyashi, Ruido Ida, Kohki Matsubara, Haruhiko Tokuda, Nobuyuki Suzuki, Hideki Murakami and Gen Kuroyanagi
Cureus (2025)
https://doi.org/10.7759/cureus.87837

Accuracy and Variability of a Commercial Markerless Motion Capture System Compared to a Pressure Mat for Weight Distribution in Standing: Cross-Sectional Observational Study

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JMIR Formative Research 9 e73575 (2025)
https://doi.org/10.2196/73575

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

Kento Kusuda, Shigehito Matsubara, Daisuke Noguchi, Moe Kuwahara, Hiroomi Hamasaki, Toshihiro Miwa, Toru Maeda, Toshihito Nakanishi, Shogo Ninomiya and Keita Honda
Biomechanics 4 (3) 411 (2024)
https://doi.org/10.3390/biomechanics4030028

Self-selected speed provides more accurate human gait kinematics and spatiotemporal parameters than overground simulated speed on a treadmill: a cross-sectional study

Federico Roggio, Bruno Trovato, Martina Sortino, Michele Vecchio and Giuseppe Musumeci
BMC Sports Science, Medicine and Rehabilitation 16 (1) (2024)
https://doi.org/10.1186/s13102-024-01011-3