With the gradual improvement of the computer performance and the use of computer more deeply in many fields,mouse and keyboard, the traditional human-computer interactive way,show more and more limitations. In recent years,gesture recognition interaction based on machine vision is used more and more widely due to its simple,nature,intuitive and non-contact advantages, which is becoming the research hotspot in the world. This paper mainly studies the main idea about DTW,HMM,ANN and SVM methods used in gesture recognition.This paper also expounds the basic model and future applications of gesture interaction system based on machine vision and research meaning of its application in agriculture. © 2013 IFIP International Federation for Information Processing.
CITATION STYLE
Huang, Z., Peng, B., & Wu, J. (2013). Research and application of human-computer interaction system based on gesture recognition technology. In IFIP Advances in Information and Communication Technology (Vol. 392 AICT, pp. 210–215). Springer New York LLC. https://doi.org/10.1007/978-3-642-36124-1_26
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