Hand gesture recognition system using fuzzy algorithm and RDBMS for post PC

  • Authors:
  • Jung-Hyun Kim;Dong-Gyu Kim;Jeong-Hoon Shin;Sang-Won Lee;Kwang-Seok Hong

  • Affiliations:
  • School of Information and Communication Engineering, Sungkyunkwan University, Suwon, KyungKi-do, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, KyungKi-do, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, KyungKi-do, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, KyungKi-do, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, KyungKi-do, Korea

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
  • Year:
  • 2005

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Abstract

In this paper, we implement hand gesture recognition system using union of fuzzy algorithm and Relational Database Management System (hereafter, RDBMS) module for Post PC (the embedded-ubiquitous environment using blue-tooth module, embedded i.MX21 board and note-book computer for smart gate). The learning and recognition model due to the RDBMS is used with input variable of fuzzy algorithm (fuzzy max-min composition), and recognize user's dynamic gesture through efficient and rational fuzzy reasoning process. The proposed gesture recognition interface consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data, 2) RDBMS module to segment significant gestures from inputted data, and 3) fuzzy max-min recognition module to recognize significant gesture of continuous, dynamic gestures and extensity of recognition. Experimental result shows the average recognition rate of 98.2% for significant dynamic gestures.