Research on key issues of gesture recognition for artificial intelligence

• Alistair S (2018) Handshape recognition using principal component analysis and convolutional neural networks applied to sign language. Doctoral Thesis, Dublin City University

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• Jun K, Min C, Min J, Jinhua S, Jian H (2018) Face recognition based on CSGF(2D)2PCANet. IEEE Access 6(8):45153–45165

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• Ronald B, Bonin F, Campbell N, Poppe R (2016) International workshop on multimodal analyses enabling artificial agents in human–machine interaction (workshop summary). In: ACM international conference on multimodal interaction. ACM

• Saleh A, Ahmed M (2019) Unknown-length handwritten numeral string recognition using cascade of PCA-SVMNet classifiers. IEEE Access 7(4):52024–52034

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• Syed MSS, Husnain AN, Javed IK, Muhammad RZ, Hikmat UK (2018) Shape based Pakistan sign language categorization using statistical features and support vector machines. IEEE Access 6(10):59242–59252

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• Wei F, Yewen D, Feihong Z, Jack S (2019) Gesture recognition based on CNN and DCGAN for calculation and text output. IEEE Access 7(2):28230–28237

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• Yuliang Z, Chao L, Xueliang Z, Xiaopeng S, Guangyi S, Wen JL (2019) Wireless IoT motion-recognition rings and a paper keyboard. IEEE Access 7(4):44514–44524

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• Zeng QS, Lai JH, Wang CD (2014) Multi-local model image set matching based on domain description. Pattern Recognit 47(2):694–704

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