음성 정보를 이용한 자폐아 치료용 로봇의 동작 설계
Therapeutic Robot Action Design for ASD Children Using Speech Data
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초록
이전 연구에서 자폐성 장애의 여러 특징적 증상을 갖는 아이들의 치료를 위해 사용될 수 있는 로봇을 설계 및 제작하여현장실험이 진행 되었으며 기존 로봇은 터치에 의한 아이들과 상호작용을 통해 감정 표현 동작을 한다. 이러한 터치 상호작용에 감정 교육 및 치료를 위해 인공신경망을 이용한 동작 설계를 하였다. 하지만 이러한 물리적 접촉은 치료 활동의 초기에사용되기 어려워 초기 치료 효과를 기대하기 어려웠다. 이에 본 논문에서는 동작 방식을 보완하여 음성 정보를 이용한 빠른상호작용을 통해 치료 활동이 초기에 가능하고 유연한 대처와 다양한 상황에서 로봇이 사용될 수 있는 동작 설계를 기술한다. 이에 필요한 요소로서 음성 데이터 수집 방법 및 인공신경망을 이용한 음성 인식 구조가 설계되었으며 실험을 통하여 분류 결과를 분석하였다. 이렇게 설계된 인공신경망은 향후 다양한 음성 데이터를 수집하여 정확도를 향상시키고 현장실험을통하여 동작의 효용성을 살펴볼 것이다.
Abstract
A cat robot for the Autism Spectrum Disorders(ASD) treatment was designed and conducted field test. The designedrobot had emotion expressing action through interaction by the touch, and performed a reasonable emotional expressionbased on Artificial Neural Network(ANN). However these operations were difficult to use in the various healingactivities. In this paper, we describe a motion design that can be used in a variety of contexts and flexibly reaction withvarious kinds of situations. As a necessary element, the speech recognition system using the speech data collectionmethod and ANN was suggested and the classification results were analyzed after experiment. This ANN will beimproved through collecting various voice data to raise the accuracy in the future and checked the effectiveness throughfield test.
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