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Some Knacks of Studying English Writing: From My Own Learning Experience
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作者 于琦 《海外英语》 2018年第6期243-244,共2页
A learner's stages of L2 development are connected by his or her L1 and culture. It is, accordingly, of paramount impor-tance to understand the second language learners' culture and learning process and better... A learner's stages of L2 development are connected by his or her L1 and culture. It is, accordingly, of paramount impor-tance to understand the second language learners' culture and learning process and better assist them through this process in theway of teaching them English writing.This essay has demonstrated several elements which affect learners' English writing throughmy own experiences, such as different cultures, reading and correct recognition of writing, and the writing process. 展开更多
关键词 second language learners’ culture and learning process reading and correct recognition of writing the writing process
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Research on Gesture Recognition Based on Multialgorithm Fusion
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作者 Yuanyuan Zhu Yanqing Wang +1 位作者 Xiaofeng Gao Lihan Liu 《国际计算机前沿大会会议论文集》 EI 2023年第2期62-76,共15页
Aiming at people with hearing and speaking obstacles,this paper pro-poses a multialgorithm fusion for gesture recognition.This paper aims to more clearly distinguish easily confused gestures in gesture recognition and... Aiming at people with hearing and speaking obstacles,this paper pro-poses a multialgorithm fusion for gesture recognition.This paper aims to more clearly distinguish easily confused gestures in gesture recognition and improve gesture recognition accuracy by integrating lip-reading recognition.For gesture recognition,this paperfirst performs skin color processing and segmentation on the hand area of the collected video sequence and detects the hand feature points by calling the hand key point model.The extracted gesture features are trained and recognized by the support vector machine algorithm.For lip reading recognition,this paperfirst uses the AdaBoost algorithm to detect and track key points on the collected video sequence,locate the lips,extract the key points of the lips through a convolutional neural network,and input the extracted key point feature sequence into BiLSTM to extract semantic information.The fusion of gesture recognition and lip reading recognition algorithms using the YOLOV5 model can effectively improve the accuracy of gesture recognition.Through experimental verification,the recognition rate can be increased from 89.4%to 94.3%. 展开更多
关键词 Gesture recognition Lip reading recognition Mediapipe hand key point HSV color space Convolutional neural networks
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