This study proves that GMH-D is a reliable framework for assessing 3D hand movements in clinical applications and contributes to the advancement of hand tracking technology, and the establishment of a validation procedure as a good-practice to prove efficacy of deep-learning-based hand-tracking.
Hand gesture recognition has been identified as an important field of research in the healthcare sector, specifically for applications in rehabilitation, assistive communication, and human computer interaction. Upper limb motion tracking provides useful information when determining the recovery of movement in patients...
Neela Harish, Deepa S., Umasankar Loganathan et al.· Journal of Innovative Image...· 1 citation
This review evaluates electromyography (EMG), force myography (FMG), sonomyography (SMG), and optical myography (OMG) for prosthetic hand control, comparing the modalities across signal propagation, signal accuracy, noise resistance, real-time processing, suitability for prosthetic control, and relative cost and system...
D. K. Yusuf, N. H. Okeke, Purity T. Y. Gandu et al.· Cureus· 0 citations
Hand and finger disorders are leading contributors to musculoskeletal disability, creating a clinical need for precise methods to quantify joint motion. Range of motion (ROM) serves as the metric for diagnosis, rehabilitation monitoring, and evaluating surgical outcomes. Currently, the goniometer is the standard tool f...
Emmett Chen, Neal Chen, Xiang Li et al.· 0 citations
Evaluation of the effectiveness of rehabilitation therapy is often based on patient outcomes and functional improvement over time. However, traditional approaches are subjective and heavily influenced by expert perspectives and perceptions, which can lead to inconsistencies in research. This study developed a motion me...
Kok Swee Sim, Mahda Laina Arnumukti· International Journal on Adv...· 0 citations
Neurological disorders drive demand for prolonged upper-limb rehabilitation, yet specialist access is uneven and assessment stays subjective. Marker-based and inertial measurement unit (IMU) systems are accurate but costly and impractical at home, while pose estimation pipelines mostly stop at keypoints, and many proce...
A. Pavlikov, V. Petrosyan, Vladislav Agapov et al.· Italian National Conference...· 0 citations
