Kinect-based mid-air handwritten digit recognition using multiple segments and scaled coding

Fu An Huang, Chung Yen Su, Tsai Te Chu

研究成果: 書貢獻/報告類型會議貢獻

8 引文 斯高帕斯(Scopus)

摘要

Human-computer interaction has attracted much attention in recent years, especially in the field of entertainment. In our previous study, we presented an effective method of Kinect-based mid-air handwritten digit recognition for a potential application to TV remote controllers. However, its recognition accuracy is only about 86.7%. In this study, we propose an improved method, based on multiple segments and scaled coding. Experimental results show that the proposed method can elevate the accuracy up to 94.6%.

原文英語
主出版物標題ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
頁面694-697
頁數4
DOIs
出版狀態已發佈 - 2013 十二月 1
事件2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa, 日本
持續時間: 2013 十一月 122013 十一月 15

出版系列

名字ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems

其他

其他2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013
國家日本
城市Naha, Okinawa
期間2013/11/122013/11/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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