{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-standardized-framework-for-sensor-placement","title":"A Standardized Framework for Sensor Placement in Human Motion Capture and Wearable Applications","arxiv_id":"2412.21159","date":"2024-12-30","proceeding":null,"authors":["Seyed Yahya Shirazi","Julius Welzel","Sein Jeung","Lara Godbersen"],"abstract":"The proliferation of wearable sensors and monitoring technologies has created an urgent need for standardized sensor placement protocols. While existing standards like SENIAM address specific applications, no comprehensive framework spans different sensing modalities and applications. We present a unified sensor placement standard that ensures the reproducibility and transferability of human movement and physiological data across various systems and research domains. Our framework provides precise anatomical landmarks, coordinate systems, and placement protocols with defined precision levels, compatible with existing data-sharing standards such as the Brain Imaging Data Structure (BIDS) and Heirechciacal Event Descriptors (HED). This framework aims to enhance data quality, reproducibility, and interoperability in applications ranging from lab-based clinical biomechanics to continuous health monitoring in everyday life.","url_abs":"https://arxiv.org/abs/2412.21159v1","url_pdf":"https://arxiv.org/pdf/2412.21159v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-standardized-framework-for-sensor-placement","repo_url":"https://github.com/human-sensor-placement/human-sensor-placement.github.io","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}