首页|Findings from Hebei University Provides New Data on Androids (Fgdsnet: a Lightwe ight Hand Gesture Recognition Network for Human Robot Interaction)
Findings from Hebei University Provides New Data on Androids (Fgdsnet: a Lightwe ight Hand Gesture Recognition Network for Human Robot Interaction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Androids. According to news reportingoriginating in Baoding, People’s Republic of China, by NewsRx journalists, research stated, “Computervision-base d gesture recognition methods play a significant role in robot visual gesture in teraction. sinceof low accuracy leading by insuffcient feature representation a nd fusion, the existing gesture segmentationand recognition methods fail to mee t the requirements of practical applications. To address these issues,a lightwe ight two-stage end-to-end gesture recognition network called Fusing Gate Dual St ages Network(FGDSNet) is proposed.”
BaodingPeople’s Republic of ChinaAsi aAndroidsEmerging TechnologiesGesture RecognitionHuman-Robot InteractionMachine LearningRobotRoboticsHebei University
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