Laban Movement Analysis applied to Human-Computer Interaction

被引：2

作者：

Ziegelmaier, Rafael Suarez ^{[1
]}

Correia, Walter ^{[1
]}

Teixeira, Joao Marcelo ^{[1
]}

Simoes, Francisco P. M. ^{[1
]}

机构：

[1] Univ Fed Pernambuco, IFPE, Dept Informat, Direcao Ensino,Dept Design CAC,Dept Eletron & Sis, Recife, PE, Brazil

来源：

2020 22ND SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY (SVR 2020) | 2020年

关键词：

Laban Movement Analysis; Gesture Recognition; Human-Computer Interaction; EMOTIONS; GESTURE; MODEL;

D O I：

10.1109/SVR51698.2020.00020

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a state-of-the-art review in Human Computer Interaction (HCI), where the Laban Movement Analysis (LMA) method is used to analyze and describe the qualitative aspects of humen gestures and movements. Composed by Shape, Body, Space and Effort, the later is fundamental in research regarding body movements. From the 48 selected papers analyzed, we conclude that the characteristics found in LMA components can be used to parameterize body movements and relate them to emotions and intentions.

引用

页码：30 / 34

页数：5

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