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Leveraging inertial data from commercial off-the-shelf (COTS) earables (e.g., Apple AirPods Pro 2),\n                    <jats:italic toggle=\"yes\">SpineSense<\/jats:italic>\n                    models the cervical vertebral chain (C1\u2013C7) using SLERP-interpolated quaternions to estimate craniovertebral (CV) angles and identify early pain-relief gestures (e.g., neck rubbing, circular head rolls) that are associated with early signs of musculoskeletal fatigue, as informed by clinical observation. A real-time feedback loop delivers posture-based alerts and weekly compliance summaries to support user awareness and long-term posture correction. Central to our design is a clinician-in-the-loop methodology: clinical experts (including orthopedic surgeons and physiotherapists) informed threshold selection (e.g., CV angle cutoffs), interpreted common discomfort behaviors, and iteratively guided the structure of weekly feedback reports. We evaluate the system on 20 participants and achieve low spine angle estimation error (MAE: 0.876\u00b0 , RMSE: 1.02\u00b0 ,\n                    <jats:italic toggle=\"yes\">r<\/jats:italic>\n                    = 0.95), and discomfort gesture classification accuracy of\n                    <jats:italic toggle=\"yes\">F<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    = 0.97. Usability studies across diverse activities show high acceptance (SUS = 84.75, NASA-TLX = 32.7, PSSUQ = 2.13), with formal ANOVA tests validating statistically significant improvements over baseline interfaces. Together, our findings establish the feasibility of engineering interactive cervical health systems using COTS earables that support real-time feedback, clinician-informed reporting, and pervasive deployment in naturalistic settings.\n                  <\/jats:p>","DOI":"10.1145\/3815368","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T15:39:14Z","timestamp":1782747554000},"page":"1-42","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SpineSense: An Interactive System for Cervical Spine Monitoring and Clinician-Oriented Summaries using COTS Earables EICS005"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0354-9731","authenticated-orcid":false,"given":"Garvit","family":"Chugh","sequence":"first","affiliation":[{"name":"Computer Science and Engineering","place":["Jodhpur, India"]},{"name":"Indian Institute of Technology","place":["Jodhpur, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9856-0687","authenticated-orcid":false,"given":"Suchetana","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering","place":["Jodhpur, India"]},{"name":"Indian Institute of Technology Jodhpur","place":["Jodhpur, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3531-968X","authenticated-orcid":false,"given":"Sandip","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering","place":["KHARAGPUR, India"]},{"name":"Indian Institute of Technology Kharagpur","place":["KHARAGPUR, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,29]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"Samer Abdelmoeti. 2024. 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