Computer Science ›› 2020, Vol. 47 ›› Issue (7): 103-110.doi: 10.11896/jsjkx.200100073
• Computer Graphics & Multimedia • Previous Articles Next Articles
LIU Xiao1, YUAN Guan1,2, ZHANG Yan-mei1, YAN Qiu-yan1, WANG Zhi-xiao1
CLC Number:
[1]JIANG D,ZHENG Z J,LI G F,et al.Gesture recognition based on binocular vision[J].Cluster Computing,2019,22(6):13261-13271. [2]ZHANG X,YANG Z,CHEN T,et al.Cooperative sensing and wearable computing for sequential hand gesture recognition[J].IEEE Sensors,2019,(19):5775-5783. [3]KUMAR P,ROY P P,DOGRA D P.Independent Bayesian classifier combination based sign language recognition using facial expression[J].Information Sciences,2018,428:30-48. [4]CHANG G C,PARK J,OH C,et al.A decision tree based real-time hand gesture recognition method using kinect[J].Journal of Korea Multimedia Society,2013,16(12):1393-1402. [5]SHIFALI S,SHATRUGHAN M,PRASHANT S R,et al.Hand gesture recognition using gaussian threshold and different SVM kernels[C]//Advances in Computing and Data Sciences.2018:138-147. [6]SAGAYAM K M,HEMANTH D J.A probabilistic model for state sequence analysis in hidden markov model for hand gesture recognition[J].Computational Intelligence,2019,35(1):59-81. [7]TAVAKOLI M,BENUSSI C,ALHAIS L P,et al.Robust hand gesture recognition with a double channel surface EMG wearable armband and SVM classifier[J].Biomedical Signal Proces-sing and Control,2018:121-130. [8]ZHANG Z,TIAN Z,ZHANG Y,et al.U-DeepHand:FMCWRadar-Based Unsupervised Hand Gesture Feature Learning Using Deep Convolutional Auto-Encoder Network[J].IEEE Sensors Journal,2019,19(16):6811-6821. [9]LI G F,TANGH,SUN Y,et al.Hand gesture recognition based on convolution neural network[J].Cluster Computing,2019,22(2):2719-2729. [10]KRZYSZTOF C,JACEK R,ALICJA K.Gesture recognitionwith the linear optical sensor and recurrent neural networks[J].IEEE Sensors Journal,2018,18(13):5429-5438. [11]MA C,WANG A,CHEN G,et al.Hand joints-based gesture recognition for noisy dataset using nested interval unscented Kalman filter with LSTM network[J].Visual Computer,2018,34(6/7/8):1053-1063. [12]NUNEZ J C,CABIDO R,PANTRIGO J J,et al.Convolutional neural networks and long short-term memory for skeleton-based human activity and hand gesture recognition[J].Pattern Recognition,2018,76:80-94. [13]PAUDYAL P,LEE J,BANERJEE A.DyFAV:Dynamic feature selection and voting for real-time recognition of fingerspelled alphabet using wearables[C]//Proceedings of The 22nd International Conference on Intelligent User Interfaces.2017:457-467. [14]KITTLER J,HATEF M,DUIN R P W,et al.On combining classifiers[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1998,20(3):226-239. [15]YUAN G,WANG Z H,MENG F R,et al.An overview ofhuman activity recognition based on smartphone[J].Sensor Review,2019,39(2):288-306. [16]WANG X,LI B Z.A novel median filtering forensics based on principal component analysis network[J].International Journal of Electronic Security and Digital Forensics,2019,11(2):145-159. [17]DERNBACH S,DAS B,KRISHNAN N C,et al.Simple andComplex Activity Recognition through Smart Phones[C]//Intelligent Environments.2012:214-221. [18]SAINATH T N,VINYALS O,SENIOR A,et al.Convolutional,Long Short-Term Memory,Fully Connected Deep Neural Networks[C]//2015 IEEE International Conference on Acoustics,Speech and Signal Processing(ICASSP).2015:4580-4584. [19]LI C,XIE C,ZHANG B C.Deep Fisher discriminant learning for mobile hand gesture recognition[J].Pattern Recognition,2018,77:276-288. [20]ZHANG X,CHEN X,LI Y.A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors[J].IEEE Transactions on Systems Man & Cybernetics Part A Systems & Humans,2011,41(6):1064-1076. [21]WAHID M F,TAFRESHI R,AL-SOWAIDI M,et al.Subject-independent hand gesture recognition using normalization and machine learning algorithms[J].Journal of Computational Science,2018,27:69-76. [22]FRANCISCO O,DANIEL R.Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity Re-cognition[J].Sensors,2016,16(1):115. [23]MA M,CHEN Z,WU J.A Recognition Method of Hand Gesture with CNN-SVM Model[C]//International Conference on Bio-Inspired Computing:Theories and Applications.Singapore:Springer,2016:399-404. |
[1] | ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161. |
[2] | CHEN Yong-quan, JIANG Ying. Analysis Method of APP User Behavior Based on Convolutional Neural Network [J]. Computer Science, 2022, 49(8): 78-85. |
[3] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[4] | DAI Zhao-xia, LI Jin-xin, ZHANG Xiang-dong, XU Xu, MEI Lin, ZHANG Liang. Super-resolution Reconstruction of MRI Based on DNGAN [J]. Computer Science, 2022, 49(7): 113-119. |
[5] | LIU Yue-hong, NIU Shao-hua, SHEN Xian-hao. Virtual Reality Video Intraframe Prediction Coding Based on Convolutional Neural Network [J]. Computer Science, 2022, 49(7): 127-131. |
[6] | XU Ming-ke, ZHANG Fan. Head Fusion:A Method to Improve Accuracy and Robustness of Speech Emotion Recognition [J]. Computer Science, 2022, 49(7): 132-141. |
[7] | WU Zi-bin, YAN Qiao. Projected Gradient Descent Algorithm with Momentum [J]. Computer Science, 2022, 49(6A): 178-183. |
[8] | ZHANG Jia-hao, LIU Feng, QI Jia-yin. Lightweight Micro-expression Recognition Architecture Based on Bottleneck Transformer [J]. Computer Science, 2022, 49(6A): 370-377. |
[9] | WANG Jian-ming, CHEN Xiang-yu, YANG Zi-zhong, SHI Chen-yang, ZHANG Yu-hang, QIAN Zheng-kun. Influence of Different Data Augmentation Methods on Model Recognition Accuracy [J]. Computer Science, 2022, 49(6A): 418-423. |
[10] | SUN Jie-qi, LI Ya-feng, ZHANG Wen-bo, LIU Peng-hui. Dual-field Feature Fusion Deep Convolutional Neural Network Based on Discrete Wavelet Transformation [J]. Computer Science, 2022, 49(6A): 434-440. |
[11] | YANG Yue, FENG Tao, LIANG Hong, YANG Yang. Image Arbitrary Style Transfer via Criss-cross Attention [J]. Computer Science, 2022, 49(6A): 345-352. |
[12] | YANG Jian-nan, ZHANG Fan. Classification Method for Small Crops Combining Dual Attention Mechanisms and Hierarchical Network Structure [J]. Computer Science, 2022, 49(6A): 353-357. |
[13] | ZHAO Zheng-peng, LI Jun-gang, PU Yuan-yuan. Low-light Image Enhancement Based on Retinex Theory by Convolutional Neural Network [J]. Computer Science, 2022, 49(6): 199-209. |
[14] | ZHANG Wen-xuan, WU Qin. Fine-grained Image Classification Based on Multi-branch Attention-augmentation [J]. Computer Science, 2022, 49(5): 105-112. |
[15] | ZHAO Ren-xing, XU Pin-jie, LIU Yao. ECG-based Atrial Fibrillation Detection Based on Deep Convolutional Residual Neural Network [J]. Computer Science, 2022, 49(5): 186-193. |
|