Ethical Framework for Biometric Footwear Data
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901780101595136 |
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| author | Higashi, Yuki |
| author_facet | Higashi, Yuki |
| contents | <p><span>This document presents an ethical framework and data architecture for biometric footwear data, including 3D foot geometry, gait, posture, and centre-of-gravity measurements. </span></p> <p> </p> <p><span>The framework introduces a five-layer data classification model and a three-domain protection model that distinguishes personal data (governed by legal consent), craft knowledge (protected by cryptographic key ownership), and human heritage (preserved through irreversible feature transformation). </span></p> <p> </p> <p><span>A key contribution is the concept of Data Donation — a voluntary, irrevocable mechanism by which individuals contribute derived morphological features to the human knowledge commons, analogous to medical body donation. The framework also addresses the longitudinal and generational nature of footwear data, the misuse risk of gait data for surveillance, and the potential of footwear as a social infrastructure sensor for fall-risk mapping and barrier-free design. </span></p> <p> </p> <p><span>This work is published as a Defensive Publication to prevent monopolisation of these concepts and to provide an open reference model for the footwear industry, medicine, urban infrastructure, and academic research.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19578548 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Ethical Framework for Biometric Footwear Data Higashi, Yuki biometric data ethics data governance footwear technology foot morphology 3D scanning gait data privacy by design digital sovereignty 5-layer data architecture three-domain model irreversible feature transformation data donation craft succession digital craftsmanship social infrastructure sensor S2X (Shoe to Everything) differential privacy k-anonymity defensive publication human-centered AI <p><span>This document presents an ethical framework and data architecture for biometric footwear data, including 3D foot geometry, gait, posture, and centre-of-gravity measurements. </span></p> <p> </p> <p><span>The framework introduces a five-layer data classification model and a three-domain protection model that distinguishes personal data (governed by legal consent), craft knowledge (protected by cryptographic key ownership), and human heritage (preserved through irreversible feature transformation). </span></p> <p> </p> <p><span>A key contribution is the concept of Data Donation — a voluntary, irrevocable mechanism by which individuals contribute derived morphological features to the human knowledge commons, analogous to medical body donation. The framework also addresses the longitudinal and generational nature of footwear data, the misuse risk of gait data for surveillance, and the potential of footwear as a social infrastructure sensor for fall-risk mapping and barrier-free design. </span></p> <p> </p> <p><span>This work is published as a Defensive Publication to prevent monopolisation of these concepts and to provide an open reference model for the footwear industry, medicine, urban infrastructure, and academic research.</span></p> |
| title | Ethical Framework for Biometric Footwear Data |
| topic | biometric data ethics data governance footwear technology foot morphology 3D scanning gait data privacy by design digital sovereignty 5-layer data architecture three-domain model irreversible feature transformation data donation craft succession digital craftsmanship social infrastructure sensor S2X (Shoe to Everything) differential privacy k-anonymity defensive publication human-centered AI |
| url | https://doi.org/10.5281/zenodo.19578548 |