A Feasibility Study on Hand Gesture Recognition in Natural Conversation

Dian Christy Silpani, Keishi Suematsu, Kaori Yoshida
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引用次数: 1

Abstract

This paper proposes to approach natural hand gestures that occur in natural conversations. Hand gesture recognition in Human-Robot Interaction is considered a preliminary study for the next step, based on the vision system of a humanoid robot. We experimented as a feasibility study on hand gestures recognition in natural conversation. The conversations between an experimental assistant (the first author) and two different subjects (both female) were recorded in the experiment. Each conversation includes two people, one of whom is the subject of the hand gesture detection that appears during the conversation. We manually captured the hand gestures that appear naturally during the session and analyzed their duration and frequency of occurrence from each video. As a result of conversations with two subjects, it was clear that hand gestures significantly impact people’s conversations. We observed that hand gestures with the same word or similar meaning appeared several times with the same intention, such as pointing at something and emphasizing a sentence or word. The topic of natural hand-gesture recognition by a robot will be a challenge. Cultural diversity makes the scope of natural hand-gesture broad, but this can be considered a topic in developing the knowledge of human-robot interaction in the future.
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自然会话中手势识别的可行性研究
本文提出了在自然对话中出现的自然手势。人机交互中的手势识别被认为是下一步基于人形机器人视觉系统的初步研究。我们对自然对话中的手势识别进行了可行性研究。实验中记录了一名实验助理(第一作者)与两名不同受试者(均为女性)之间的对话。每个对话包括两个人,其中一个是对话期间出现的手势检测的主体。我们手动捕捉在会话中自然出现的手势,并分析它们在每个视频中出现的持续时间和频率。通过与两名受试者的对话,很明显,手势对人们的对话有显著影响。我们观察到,具有相同单词或相似含义的手势在相同的意图下多次出现,例如指向某物和强调一个句子或单词。机器人自然手势识别的课题将是一个挑战。文化多样性使得自然手势的范围很广,但这可以被认为是未来发展人机交互知识的一个主题。
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