[1] Pavlovic V I, Sharma R, Huang T S. Visual interpretation of hand gestures for humancomputer interaction: A review[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997,19(7):677695.
[2] Wu Ying, Huang T S. Visionbased gesture recognition: A review[C]// Proceedings of the 1999 International Gesture Workshop on Gesturebased Communication in HumanComputer Interaction. 1999:103115.
[3] Jaimes A, Sebe N. Multimodal humancomputer interaction: A survey[J]. Computer Vision and Image Understanding, 2007,108(12):116134.
[4] Xie Renqiang, Sun Xia, Xia Xiang, et al. Similarity matchingbased extensible hand gesture recognition[J]. IEEE Sensors Journal, 2015,15(6):34753483.
[5] 庞海波,李占波,丁友东. 基于时间序列手势轮廓模型的动态手势识别[J]. 华南理工大学学报(自然科学版), 2015,43(1):140146.
[6] Bhuyan M K, Kumar D A, MacDorman K F, et al. A novel set of features for continuous hand gesture recognition[J]. Journal on Multimodal User Interfaces, 2014,8(4):333343.
[7] 李翠,王小妮,刘园园. 基于SIFT算法的手势控制系统的设计与实现[J]. 现代经济信息, 2016(10):337.
[8] Wallach H M. Topic modeling: Beyond bagofwords[C]// Proceedings of the 23rd International Conference on Machine Learning. 2006:977984.
[9] 曹洁,赵修龙,王进花. 基于RGBD信息的动态手势识别方法[J/OL]. http://www.arocmag.com/article/02201806050.html, 20170614.
[10]刘斌,赵兴,胡春海,等. 面向颜色深度图像手脸近距遮挡的手势识别[J]. 激光与光电子学进展, 2016(6):134143.
[11]Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]// Proceedings of the 25th International Conference on Neural Information Processing Systems. 2012,1:10971105.
[12]陈祖雪. 基于深度卷积神经网络的手势识别研究[D]. 西安:陕西师范大学, 2016.
[13]柯圣财,赵永威,李弼程,等. 基于卷积神经网络和监督核哈希的图像检索方法[J]. 电子学报, 2017,45(1):157163.
[14]Fan Yin, Lu Xiangju, Li Dian, et al. Videobased emotion recognition using CNNRNN and C3D hybrid networks[C]// Proceedings of the 18th ACM International Conference on Multimodal Interaction. 2016:445450.
[15]左艳丽,马志强,左宪禹. 基于改进卷积神经网络的人体检测研究[J]. 现代电子技术, 2017,40(4):1215.
[16]赵志宏,杨绍普,马增强. 基于卷积神经网络LeNet5的车牌字符识别研究[J]. 系统仿真学报, 2010,22(3):638641.
[17]Dai Jifeng, Qi Haozhi, Xiong Yuwen, et al. Deformable Convolutional Networks[DB/OL]. https://arxiv.org/abs/1703.06211, 20170605.
[18]Multimedia Computing Laboratory. Large RGBD Extensible Hand Gesture Dataset[DB/OL]. http://mclab.citi.sinica.edu.tw/dataset/lared/lared.html#download, 20140718. |