{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T08:51:47Z","timestamp":1777625507188,"version":"3.51.4"},"reference-count":23,"publisher":"Cambridge University Press (CUP)","issue":"12","license":[{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The purpose of this study is to realize virtual interaction and manipulation control of a hexacopter based on hand gesture recognition from a designed data glove, to provide an intuitive and visual real-time simulation system for flight control algorithm verification and external control equipment testing. First, the hand gesture recognition from a designed data glove is studied, which can recognize different actions, such as mobile ready, grab, loosen, landing, take-off, and hover. Then, the design of virtual simulation system for hexacopter capture is completed, with the model design of hexacopter and manipulator, and the simulation software design with <jats:inline-formula><jats:alternatives><jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mime-subtype=\"png\" xlink:href=\"S0263574722000972_inline1.png\"\/><jats:tex-math>\n$CoppeliaSim$\n<\/jats:tex-math><\/jats:alternatives><\/jats:inline-formula>. Finally, virtual simulation experiment of hexacopter grasping and virtual flight control experiment based on data glove are tested, respectively, and quantitatively described. The overall recognition rate is 84.3%, indicating that the data glove produced has the ability to recognize gestures, but its recognition performance is not superior. In gesture recognition, the recognition rate of static gestures is relatively higher than that of dynamic gestures. Among the static gestures, the hover gesture has the highest recognition rate. The average correct rate of static gestures can reach 94%. The lowest recognition rate of dynamic gestures is upward movement, and the average recognition rate of dynamic gestures is 76.1%. The research can be used to remotely operate hexacopter using a data glove in the future and improve the control performance through virtual interaction and manipulation simulation before actual application.<\/jats:p>","DOI":"10.1017\/s0263574722000972","type":"journal-article","created":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T03:57:38Z","timestamp":1657511858000},"page":"4375-4387","source":"Crossref","is-referenced-by-count":21,"title":["Virtual interaction and manipulation control of a hexacopter through hand gesture recognition from a data glove"],"prefix":"10.1017","volume":"40","author":[{"given":"Haiming","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di\u2019en","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zehao","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuchun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5303-3899","authenticated-orcid":false,"given":"Mingjie","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2022,7,11]]},"reference":[{"key":"S0263574722000972_ref6","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aar2915"},{"key":"S0263574722000972_ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.01.031"},{"key":"S0263574722000972_ref15","doi-asserted-by":"crossref","unstructured":"[15] Luzhnica, G. , Simon, J. , Lex, E. and Pammer, V. , \u201cA Sliding Window Approach to Natural Hand Gesture Recognition Using a Custom Data Glove,\u201d In: 2016 IEEE Symposium on 3d User Interfaces, Greenville, SC, USA (2016) pp. 81\u201390.","DOI":"10.1109\/3DUI.2016.7460035"},{"key":"S0263574722000972_ref21","doi-asserted-by":"crossref","unstructured":"[21] Meyer, J. , Sendobry, A. , Kohlbrecher, S. , Klingauf, U. and von Stryk, O. , \u201cComprehensive Simulation of Quadrotor UAVs Using ROS and Gazebo,\u201d In: SIMPAR 2012: Simulation, Modeling, and Programming for Autonomous Robots, Berlin, Heidelberg (2012) pp. 400\u2013411.","DOI":"10.1007\/978-3-642-34327-8_36"},{"key":"S0263574722000972_ref20","doi-asserted-by":"crossref","unstructured":"[20] Fernando, H. C. T. E. , De Silvia, A. T. A. , De Zoysa, M. D. C. , Dilshan, K. A. D. C. and Munasinghe, S. R. , \u201cModelling, Simulation and Implementation of a Quadrotor UAV,\u201d In:2013 8th IEEE International Conference on Industrial and Information Systems, Peradeniya, Sri Lanka (2013) pp. 207\u2013212.","DOI":"10.1109\/ICIInfS.2013.6731982"},{"key":"S0263574722000972_ref10","first-page":"1","article-title":"Real-time human detection and gesture recognition for on-board UAV rescue","volume":"21","author":"Liu","year":"2021","journal-title":"Sensors"},{"key":"S0263574722000972_ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2018.05.013"},{"key":"S0263574722000972_ref12","doi-asserted-by":"publisher","DOI":"10.1108\/IR-07-2016-0179"},{"key":"S0263574722000972_ref22","doi-asserted-by":"publisher","DOI":"10.1109\/NTAD51447.2020.9379113"},{"key":"S0263574722000972_ref23","doi-asserted-by":"publisher","DOI":"10.1108\/AA-01-2016-002"},{"key":"S0263574722000972_ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11012-3_9"},{"key":"S0263574722000972_ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2789293"},{"key":"S0263574722000972_ref14","first-page":"15","article-title":"Hand data glove: A wearable real-time device for human-computer interaction","volume":"43","author":"Kumar","year":"2012","journal-title":"Int. J. Adv. Sci. Technol."},{"key":"S0263574722000972_ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3010744"},{"key":"S0263574722000972_ref16","doi-asserted-by":"publisher","DOI":"10.1177\/0954411920953031"},{"key":"S0263574722000972_ref1","doi-asserted-by":"publisher","DOI":"10.1177\/1077546321989495"},{"key":"S0263574722000972_ref5","first-page":"1","article-title":"An intuitive end-to-end human-UAV interaction system for field exploration","volume":"13","author":"Jiao","journal-title":"Front. Neurorobot."},{"key":"S0263574722000972_ref19","first-page":"1","article-title":"Design of an inertial-sensor-based data glove for hand function evaluation","volume":"18","author":"Lin","year":"2018","journal-title":"Sensors"},{"key":"S0263574722000972_ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2010.5505962"},{"key":"S0263574722000972_ref17","doi-asserted-by":"crossref","unstructured":"[17] Mezzinolu, T. and Karakse, M. , \u201cWearable Glove Based Approach for Human-UAV Interaction,\u201d In: 2020 IEEE International Symposium on Systems Engineering (ISSE), Vienna, Austria (2020) pp. 1\u20136.","DOI":"10.1109\/ISSE49799.2020.9272208"},{"key":"S0263574722000972_ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2010.11.010"},{"key":"S0263574722000972_ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s21051766"},{"key":"S0263574722000972_ref8","unstructured":"[8] Liang, J. , Cao, J. and Wang, L. , \u201cDesign of Multi-Mode UAV Human-Computer Interaction System,\u201d 2017 IEEE International Conference on Unmanned Systems (ICUS), Beijing, China (2017) pp. 353\u2013357."}],"container-title":["Robotica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0263574722000972","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T06:30:59Z","timestamp":1667975459000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0263574722000972\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,11]]},"references-count":23,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["S0263574722000972"],"URL":"https:\/\/doi.org\/10.1017\/s0263574722000972","relation":{},"ISSN":["0263-5747","1469-8668"],"issn-type":[{"value":"0263-5747","type":"print"},{"value":"1469-8668","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,11]]}}}