HAVOC 发表于 2025-3-25 05:56:10
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Mario Larangeira,Dimitris Karakostascarried out for 5 static and 4 dynamic gestures. For this work, the stages of the gesture recognition study were divided into data acquisition, preprocessing, feature extraction, and classification. For the data acquisition stage, we programmed an interface in MATLAB, which generates a structure of大火 发表于 2025-3-25 19:11:39
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http://reply.papertrans.cn/15/1466/146508/146508_25.pngPRE 发表于 2025-3-26 03:17:19
Mario Larangeira,Dimitris Karakostasnd sensors such as the Leap Motion Controller, which highlights due to its precision when detecting gestures made with hands and fingers. In this study, this sensor was utilized together with Unity to develop an application called VISDOM motor, which enables consolidating the learning of electric moESPY 发表于 2025-3-26 07:18:53
http://reply.papertrans.cn/15/1466/146508/146508_27.pngREIGN 发表于 2025-3-26 09:39:40
https://doi.org/10.1007/978-981-33-4565-2Software Development; Artificial Intelligence; Educational computing; E-Management; Integrated Systems; IExcitotoxin 发表于 2025-3-26 15:20:55
978-981-33-4564-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singaporbioavailability 发表于 2025-3-26 19:08:22
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