{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:09Z","timestamp":1750219809109,"version":"3.41.0"},"reference-count":15,"publisher":"Association for Computing Machinery (ACM)","issue":"10","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Commun. ACM"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:p>This paper builds a Near-Field Communication (NFC) based localization system that allows ordinary surfaces to locate surrounding objects with high accuracy in the near-field. While there is rich prior work on device-free localization using far-field wireless technologies, the near-field is less explored. Prior work in this space operates at extremely small ranges (a few centimeters), leading to designs that sense close proximity rather than location. We propose TextileSense, a near-field beamforming system that can track everyday objects made of conductive materials (for example, a human hand) even if they are a few tens of centimeters away. We use multiple flexible NFC coil antennas embedded in ordinary and irregularly shaped surfaces we interact with in smart environments---furniture, carpets, and so forth. We design and fabricate specialized textile coils woven into the fabric of the furniture and easily hidden by acrylic paint. We then develop a near-field blind beam-forming algorithm to efficiently detect surrounding objects, and use a data-driven approach to further infer their location. A detailed experimental evaluation of TextileSense shows an average accuracy of 3.5 cm in tracking the location of objects of interest within a few tens of centimeters from the furniture.<\/jats:p>","DOI":"10.1145\/3615450","type":"journal-article","created":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T15:28:35Z","timestamp":1695396515000},"page":"107-114","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Locating Everyday Objects Using NFC Textiles"],"prefix":"10.1145","volume":"66","author":[{"given":"Jingxian","family":"Wang","sequence":"first","affiliation":[{"name":"Microsoft Research &amp; National University of Singapore, Singapore"}]},{"given":"Junbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}]},{"given":"Ke","family":"Li","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY, USA"}]},{"given":"Chengfeng","family":"Pan","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong"}]},{"given":"Carmel","family":"Majidi","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}]},{"given":"Swarun","family":"Kumar","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,9,22]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proc. 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