识别手势和LSF共同发音特征的协议:应用于认识手势

Fanny CatteauSFL, Claudia S BianchiniFoReLLIS
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引用次数: 0

摘要

本文重点研究了法语和法语手语(LSF)共同言语手势(CSG)中认识性手势(即用于表达确定性或不确定性的手势)的发音特征。它提出了一种新的分析方法,该方法依赖于人工标注(使用 Typannot)和半自动标注(使用 AlphaPose)的互补使用,以突出这些认识论手势的运动学特征。本文介绍的方法可用于分析认识语境中头部的屈伸运动。分析结果表明,在 CSG 和LSF 中:(1) 通过中立位置(即头伸直无屈伸)的点头和高运动速度是确定性的标志;(2) 头部位置偏离中立位置和低运动速度表示不确定性。这项研究是在 ANR LexiKHuM 项目框架内进行的,该项目旨在开发用于人机交互的动觉通信解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protocol for identifying shared articulatory features of gestures and LSF: application to epistemic gesture
This article focuses on the articulatory characteristics of epistemic gestures (i.e., gestures used to express certainty or uncertainty) in co-speech gestures (CSG) in French and in French Sign Language (LSF). It presents a new methodology for analysis, which relies on the complementary use of manual annotation (using Typannot) and semi-automatic annotation (using AlphaPose) to highlight the kinesiological characteristics of these epistemic gestures. The presented methodology allows to analyze the flexion/extension movements of the head in epistemic contexts. The results of this analysis show that in CSG and LSF: (1) head nods passing through the neutral position (i.e., head straight with no flexion/extension) and high movement speed are markers of certainty; and (2) holding the head position away from the neutral position and low movement speed indicate uncertainty. This study is conducted within the framework of the ANR LexiKHuM project, which develops kinesthetic communication solutions for human-machine interaction.
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