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Emotion recognition in a social robot for robot-assisted therapy to autistic treatment using deep learning

机译:使用深度学习的社交机器人中用于机器人辅助治疗自闭症治疗的情感识别

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The Autistic Spectrum Disorder (ASD) is a certain kind of condition characterized by difficulty in social communication, social relationship, and imagination. This condition mainly affects children. The earlier intervention in ASD can help the individual to improve the social skills through Autistic therapies. The robot-assisted therapy is an emerging field in which a special type of robot called social robot is used to interact with ASD individual. These robots have social and communicative skills that can influence the ASD individual. Understanding the emotional state of ASD individual will help in providing appropriate therapy to the individual. This paper discusses emotion recognition technique to be used in a social robot using deep learning techniques. This emotion recognition technique can work in real time to predict the behavior of ASD children.
机译:自闭症谱系障碍(ASD)是一种以社交沟通,社交关系和想象力方面的困难为特征的疾病。这种情况主要影响儿童。对ASD的早期干预可以通过自闭症疗法帮助个人提高社交技能。机器人辅助疗法是一个新兴领域,其中使用一种称为社交机器人的特殊类型的机器人与ASD个体进行交互。这些机器人具有社交和交流能力,可以影响ASD个人。了解ASD个体的情绪状态将有助于为个体提供适当的治疗。本文讨论了使用深度学习技术在社交机器人中使用的情感识别技术。这种情绪识别技术可以实时工作以预测ASD儿童的行为。

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