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Current state\u2010of\u2010the\u2010art sensors placed on fingers or embedded into gloves are incapable of fully capturing all hand gestures and are often uncomfortable for the wearer. Herein, a flake\u2010sphere hybrid structure of reduced graphene oxide (rGO) doped with polystyrene (PS) spheres is fabricated to construct the highly sensitive, fast response, and flexible piezoresistive sensor array, which is ultralight in the weight of only 2.8\u2009g and possesses the remarkable curved\u2010surface conformability. The flexible wrist\u2010worn device with a five\u2010sensing array is used to measure pressure distribution around the wrist for accurate and comfortable hand gesture recognition. The intelligent wristband is able to classify 12 hand gestures with 96.33% accuracy for five participants using a machine learning algorithm. To showcase our wristband, a real\u2010time system is developed to control a robotic hand via the classification results, which further demonstrates the potential of this work for HMI applications.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202200193","type":"journal-article","created":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T05:49:01Z","timestamp":1665035341000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Ultralight Smart Patch with Reduced Sensing Array Based on Reduced Graphene Oxide for Hand Gesture Recognition"],"prefix":"10.1002","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4569-5382","authenticated-orcid":false,"given":"Yuchi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Electronic Science and Engineering University of Electronic Science and Technology of China  Chengdu 611731 China"},{"name":"James Watts School of Engineering University of Glasgow  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