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Updated: Sep 19, 2025
An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
Published on: February 12, 2018
Development of a web-based application for initial hand evaluation and 3D scanning: A pilot feasibility and validity
Maryam Farzad1, Joy MacDermid2, Louis Ferreira3
1Hand and Upper Limb Center, St. Joseph's Health Center, London, ON, Canada; Neuromusculoskeletal Rehabilitation Reseach Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; School of Physical Therapy, Department of Health and Rehabilitation Sciences, University of Western Ontario, London, ON, Canada; Orfit Industries, Wijnegem, Belgium.
Background:
The rapid evolution of digital health technologies has created new opportunities for remote evaluation and management of upper extremity conditions. However, few tools offer a comprehensive, validated, and user-friendly platform for remote hand assessment, including 3D scanning capabilities.
Purpose:
To develop and validate a novel web-based application ("HAND SCANS") for remote hand evaluation and 3D scanning and to assess its feasibility, accuracy, and user satisfaction among clinicians and patients.
Study Design:
Prospective validation and feasibility study.
Methods:
A web-based application was designed to collect patient-reported outcomes and guide users through image capture for 3D hand scanning using smartphone cameras. The tool's ability to measure range of motion, sensory function, pain, and grip strength was compared with standard clinical instruments. The accuracy of 3D scans was validated against conventional photogrammetry. Patient and clinician feedback was gathered to evaluate feasibility and usability.
Results:
The application strongly agreed with clinical gold standards for measuring range of motion, sensory testing, and pain levels. 3D hand scans obtained using smartphones showed high dimensional accuracy compared to standard photogrammetry. Participants reported high satisfaction with the application, citing ease of use and potential for remote care. Areas for improvement included image quality and user interface.
Conclusions:
The HAND SCANS application is a valid and feasible tool for remote hand evaluation and 3D scanning. Its integration into telehealth models may expand access to specialized hand assessments, especially in underserved or remote settings. Further development is warranted to enhance image quality and user experience.
