{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T21:05:21Z","timestamp":1753736721088,"version":"3.41.0"},"reference-count":12,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T00:00:00Z","timestamp":1641513600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["GetMobile: Mobile Comp. and Comm."],"published-print":{"date-parts":[[2022,1,7]]},"abstract":"<jats:p>Wearable computing platforms, such as smartwatches and head-mounted mixed reality displays, demand new input devices for high-fidelity interaction. We present AuraRing, a wearable magnetic tracking system designed for tracking fine-grained finger movement. The hardware consists of a ring with an embedded electromagnetic transmitter coil and a wristband with multiple sensor coils. By measuring the magnetic fields at different points around the wrist, AuraRing estimates the five degree-of-freedom pose of the ring. AuraRing is trained only on simulated data and requires no runtime supervised training, ensuring user and session independence. It has a resolution of 0.1 mm and a dynamic accuracy of 4.4 mm, as measured through a user evaluation with optical ground truth. The ring is completely self-contained and consumes just 2.3 mW of power.<\/jats:p>","DOI":"10.1145\/3511285.3511295","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T23:15:51Z","timestamp":1641942951000},"page":"34-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["AuraRing"],"prefix":"10.1145","volume":"25","author":[{"given":"Farshid","family":"Salemi Parizi","sequence":"first","affiliation":[{"name":"University of Washington, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Whitmire","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shwetak N.","family":"Patel","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,11]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979238"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501988.2502016"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501988.2502035"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858125"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3126594.3126615"},{"volume-title":"Proceedings of the 22nd annual ACM symposium on User interface software and technology. ACM, 121--124","author":"Harrison Chris","key":"e_1_2_1_6_1","unstructured":"Chris Harrison and Scott E. Hudson . 2009. Abracadabra: Wireless, high-precision, and unpowered finger input for very small mobile devices . Proceedings of the 22nd annual ACM symposium on User interface software and technology. ACM, 121--124 . Chris Harrison and Scott E. Hudson. 2009. Abracadabra: Wireless, high-precision, and unpowered finger input for very small mobile devices. Proceedings of the 22nd annual ACM symposium on User interface software and technology. ACM, 121--124."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858483"},{"key":"e_1_2_1_8_1","unstructured":"Polhemus. 2013. Polhemus G4. https:\/\/polhemus. com\/motion-tracking\/all-trackers\/g4. (2013).  Polhemus. 2013. Polhemus G4. https:\/\/polhemus. com\/motion-tracking\/all-trackers\/g4. 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