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Current commercialized solutions of gesture language are limited by the full extent of human interaction beyond operation dexterity, sensory feedback, and the huge cost of fabrication. Herein, a low\u2010cost, high\u2010efficient gesture\u2010language\u2010recognition feedback system combined with the strain\u2010sensor arrays and machine\u2010learning technology is proposed. The strain\u2010sensor arrays integrated with 3D\u2010printed glove can extract both spatial and temporal information about the finger's movement. The smart glove achieves gesture\u2010language recognition using machine learning with an accuracy of over 99%. Integrating with multidimensional manipulation, visual feedback and artificial intelligence (AI)\u2010based gesture\u2010language recognition, the smart system can accurately recognize complex gestures and provide real\u2010time feedback to users. 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