ArticleJournal of foot and ankle research2019
Validation of a novel Kinect-based device for 3D scanning of the foot plantar surface in weight-bearing.
Article in Journal of foot and ankle research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Foot shape assessment techniques for orthotic and footwear applications: a methodological literature review.Frontiers in bioengineering and biotechnology · 2024Pooled it
- Article
- Foot arch morphology and lower-limb biomechanical characteristics in university students: a cross-sectional multifactorial analysis of 1,078 participants.Scientific reports · 2026Article
- Three-dimensional differences in plantar surface shape captured by methods used for custom accommodative insole design.Journal of foot and ankle research · 2025Article
- Does Scanner Choice Matter for the Design of Foot Orthosis?Sensors (Basel, Switzerland) · 2025Article
- A Review on 3D Scanners Studies for Producing Customized Orthoses.Sensors (Basel, Switzerland) · 2024Review
- Validation of an Automated Optical Scanner for a Comprehensive Anthropometric Analysis of the Foot and Ankle.Bioengineering (Basel, Switzerland) · 2023Article
- The Features of Foot Morphology and Intrinsic Foot Muscle Property in Adolescent Swimmers: An Ultrasound-Based Study.Journal of human kinetics · 2023Article
- Assessment of the Efficiency of Measuring Foot and Ankle Edema with a 3D Portable Scanner.Bioengineering (Basel, Switzerland) · 2023Article
- Methodological and statistical approaches for the assessment of foot shape using three-dimensional foot scanning: a scoping review.Journal of foot and ankle research · 2023Article
- System for Estimation of Human Anthropometric Parameters Based on Data from Kinect v2 Depth Camera.Sensors (Basel, Switzerland) · 2023Article
- Design principles, manufacturing and evaluation techniques of custom dynamic ankle-foot orthoses: a review study.Journal of foot and ankle research · 2022Review
- Point cloud registration method for maize plants based on conical surface fitting-ICP.Scientific reports · 2022Article
- Use of Plantar Pressure Sensors to Take Weight-Bearing Foot Casts.Sensors (Basel, Switzerland) · 2021Article
- The Impact of Kinesiology Taping on a Greek Foot with a Hammertoe-A Case Report.Healthcare (Basel, Switzerland) · 2021Article
- Semi-automatic measurements of foot morphological parameters from 3D plantar foot scans.Journal of foot and ankle research · 2021Article
- Rapid Prototyping of Personalized Articular Orthoses by Lamination of Composite Fibers upon 3D-Printed Molds.Materials (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvancements in additive manufacturing, along with new 3D scanning tools, are increasingly fulfilling the technological need for custom devices in personalized medicine. In podiatry and in the footwear industry, custom orthotic and footwear solutions are often required to address foot pathologies or morphological alterations which cannot be managed with standard devices. While laser scanners are the current gold-standard for 3D digitization of the foot shape, their costs limit their applications and diffusion, therefore traditional operator-dependent casting methods are still in use. The aim of this study was to design and validate a novel 3D foot scanner based on the Microsoft Kinect sensor, allowing a 3D scan of the plantar shape of the foot to be acquired in weight-bearing.
methodsThe accuracy and repeatability of the prototypal foot scanner were investigated in a population of 14 asymptomatic healthy subjects, with no history of foot or lower limb injuries. The accuracy was estimated by comparing the Kinect foot scans with those obtained with a high-resolution laser scanner used as reference. The repeatability was assessed by comparing scans of the same foot acquired in different sessions.
resultsThe inter-subject average Root Mean Square Error (RMSE) of the Kinect scans was lower than 3 mm for the whole plantar surface, and lower than 1.6 mm for the arch region alone, both in left and right feet. The repeatability, quantified as the average RMSE of pairwise comparisons between sessions, was 1.2 ± 0.4 mm.
conclusionsThe present Kinect-based 3D foot scanner showed optimal intra-operator repeatability and its accuracy appears adequate to obtain 3D scans of the foot plantar surface suitable for different clinical applications. This device could represent a valid low-cost alternative to expensive laser-based scanners and could be used for automatic foot measurements, supporting the design of custom insoles and footwear.
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