Behaviormetrika
Online ISSN : 1349-6964
Print ISSN : 0385-7417
ISSN-L : 0385-7417
MULTIVARIATE DATA CLASSIFICATION BY FACE PATTERN CONSIDERING PSYCHOMETRICAL DISTANCES OF FACIAL EXPRESSIONS
Nakaji HondaFutoshi Sugimoto
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1987 Volume 14 Issue 21 Pages 29-43

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Abstract

This paper proposes a new representation method of multivariate data by face pattern - termed as the face method - considering the human visual characteristics of facial expressions. The visual characteristics of facial expressions illustrated by the face pattern are analyzed by using multidimensional scaling (MDS), and psychometrical distances of facial expressions are then obtained from the configuration formed by MDS. A mathematical formulation of the proposed representation method is derived introducing the obtained psychometrical distances. The verification of the method is performed by some psychometrical experiments, and its efficiency is also tested applying in the classification of multivariate fossil data.

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© The Behaviormetric Society of Japan
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