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Embedding textile capacitive sensing into smart wearables as a versatile solution for human motion capturing.

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Title: Embedding textile capacitive sensing into smart wearables as a versatile solution for human motion capturing.
Authors: Geißler D; Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany. daniel.geissler@dfki.de., Zhou B; Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Bello H; Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Sorysz J; Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Ray L; Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Javaheri H; Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Rüb M; Intelligent Networks, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Herbst J; Intelligent Networks, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Zahn E; Design Research eXplorations, German Research Center for Artificial Intelligence (DFKI), Berlin, Germany., Woop E; Design Research eXplorations, German Research Center for Artificial Intelligence (DFKI), Berlin, Germany., Bian S; Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland., Schotten HD; Intelligent Networks, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany., Joost G; Design Research eXplorations, German Research Center for Artificial Intelligence (DFKI), Berlin, Germany., Lukowicz P; Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany.
Source: Scientific reports [Sci Rep] 2024 Jul 09; Vol. 14 (1), pp. 15797. Date of Electronic Publication: 2024 Jul 09.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-024-66165-z