A User Adaptation Method for Hand Shape Recognition Using Wrist-Mounted Camera

Abstract

This paper proposes a robust hand segmentation method using view-invariant characteristic of a wrist-mounted camera, and deals with a hand shape recognition system based on segmented hand information. We actively utilize the advantage of the proposed camera device that provides view-invariant images physically, and segment hand region using a Bayesian rule based on adaptive histograms. We construct HSV histograms from RGB histograms, and update HSV histograms using hand region information from a current image. We also propose a user adaptation method by which hand models gradually approach user-dependent models from user-independent models as the user uses the system. The proposed method was evaluated using 16 Korean manual alphabet, and we obtained increases of 27.91% in recognition success rate.

A Study on Face Recognition System Using LDA and SVM

“…계적 분류방법으로 주성분 분석(: PCA)에 의한 얼굴 인식 [2][3], [13], 서포트벡터머신(: SVM)에 의한 얼굴 인식 [2], [4], [11], 선형판별분석(: LDA) 의한 얼굴 인식 [3], [5], 독립성분분석(: ICA)에 의한 얼굴 인식 [6]과 신경망(: Neural Network)에 의한 얼굴 인식 [7], […”