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1 – 1 of 1Heon‐Hui Kim, Yun‐Su Ha, Zeungnam Bien and Kwang‐Hyun Park
The purpose of this paper is to deal with a method for gesture encoding and reproduction, particularly aiming at a text‐to‐gesture (TTG) system that enables robotic agents to…
Abstract
Purpose
The purpose of this paper is to deal with a method for gesture encoding and reproduction, particularly aiming at a text‐to‐gesture (TTG) system that enables robotic agents to generate proper gestures automatically and naturally in human‐robot interaction.
Design/methodology/approach
Reproducing proper gestures, naturally synchronized with speech, is important under the TTG concept. The authors first introduce a gesture model that is effective to abstract and describe a variety of human gestures. Based on the model, a gesture encoding/decoding scheme is proposed to encode observed gestures symbolically and parametrically and to reproduce robot gestures from the codes. In particular, this paper mainly addresses a gesture scheduling method that deals with the alignment and refinement of gestural motions, in order to reproduce robotic gesticulation in a human‐like, natural fashion.
Findings
The proposed method has been evaluated through a series of questionnaire surveys, and it was found that reproduced gestures by a robotic agent could appeal satisfactorily to human beings.
Originality/value
This paper provides a series of algorithms to treat overlapped motions and to refine the timing parameters for the motions, so that robotic agents reproduce human‐like, natural gestures.
Details