KineFeet: A Novel Depth Camera-Based Web Application for Diagnosing Foot Kinematics Alterations

Background: Altered foot kinematics during walking, including reduced tibial inclination (the angle between the tibia and a vertical line during gait), as well as medial longitudinal arch (MLA) flattening and first metatarsophalangeal (MTP1) extension angle have been linked to various musculoskeletal disorders. Such abnormalities can have considerable clinical ramifications; hence, it is essential to identify them accurately.
Aim: We aimed to assess the diagnostic accuracy of KineFeet, a web-based application that employs a depth camera technique to detect foot kinematic changes for human gait analysis.
Methods: KineFeet and Kinovea^® gait analysis software were used to diagnose altered foot kinematics in 89 healthy participants in this cross-sectional study. The main kinematic parameters investigated were Ankle Inclination angle at Terminal Stance (AI_TSt), Medial Longitudinal Arch angle at Terminal Stance (MLA_TSt), and Metatarsophalangeal angle 1 at maximal hallux extension (MTP_HE). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the receiver-operating characteristic area under the curve (AUC) were computed.
Results: KineFeet showed excellent diagnostic performance. AI_TSt had a sensitivity of 88.23% and a specificity of 95.83%, with PPV and NPV values of 83.33% and 97.18%, respectively (AUC = 0.97). MLA_TSt and MTP_HE also had high discriminative abilities, with sensitivities of 79.54% and 79.00%, specificities of 95.55% and 91.30%, and attributed AUCs of 0.94 and 0.91, respectively.
Conclusion: KineFeet was able to accurately detect foot kinematics deformity during human gait. Its high diagnostic accuracy makes it a promising screening and evaluation tool. Further studies on human gait pathologies are warranted.

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Issue	Articles in Press
Section	Research Article(s)
Keywords
Gait analysis; Foot; Computer-assisted diagnosis; Kinematics

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Anestherita F, Tulaar A, Rachmawati M, Yunir E, Harbuwono D, Wedhani R, Safri A, Rachmadi M, Nadhif M, Hawalie Marzuki A, Wahyuni L, . N, Nugraha B. KineFeet: A Novel Depth Camera-Based Web Application for Diagnosing Foot Kinematics Alterations. jmr. 2025;(-).

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