A Study on the Five Senses Information Processing for HCI

HCI를 위한 오감정보처리에 관한 연구

  • Lee, Hyeon Gu ;
  • Kim, Dong Kyu
  • 이현구 (서일대학 정보통신과) ;
  • 김동규 (성균관대학교 정보통신공학부)
  • Received : 2009.05.07
  • Accepted : 2009.06.03
  • Published : 2009.06.30


In this paper, we propose data format for smell, taste, touch with speech and vision which can be transmitted and implement a floral scent detection and recognition system. We provide representation method of data of smell, taste, and touch. Also, proposed floral scent recognition system consists of three module such as floral scent acquisition module using Metal Oxide Semiconductor (MOS) sensor array, entropy-based floral scent detection module, and floral scent recognition module using correlation coefficients. The proposed system calculates correlation coefficients of the individual sensor between feature vector(16 sensors) from floral scent input point until the stable region and 12 types of reference models. Then, this system selects the floral scent with the maximum similarity to the calculated average of individual correlation coefficients. To evaluate the floral scent recognition system using correlation coefficients, we implemented an individual floral scent recognition system using K-NN with PCA and LDA that are generally used in conventional electronic noses. In the experimental results, the proposed system performs approximately 95.7% average recognition rate.


Supported by : 서일대학