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An Intelligent Multi-Gesture Spotting Robot to Assist Persons with Disabilities

机译:一个智能的多姿图发现机器人,以帮助残疾人

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Sign language is used all over the world by the hearing-impaired and disabled to communicate with each other and the rest of the world. Sign language is more than just moving fingers or hands; it is a viable and visible language in which gestures and facial expressions play a very .important role. These signs can be effectively used as far as communication with humans is concerned but with respect to communication with machines better methodologies and algorithms have to be developed. This paper presents a system which can be used by disabled people (who can communicate only with sign languages) to communicate with machines in order to employ it to their daily life. The system focuses on pose estimation of gestures, used by physically disabled people to give suitable signals to the machines. Pose is generated using silhouettes followed by gesture recognition using Mahalanobis distance metric. The system further was to control a wireless robot from different gestures used by disabled people. The basic American sign language symbols I Hand, II Hand, Aboard, All Gone, etc were recognized and a specific signal with respect to each gesture is transmitted which controls the robot The robot is made to perform, forward, backward, left, right and stop actions for each gesture presented to the system by the disabled .person. The present system can also be modeled to send wireless SMS or emails in worse situations. The system demonstrated potency in the estimation of motion and pose for interpreting the sign language by- using the silhouettes of the pose. The proposed system recognizes sign language, thus providing disabled people a medium to communicate with machines, leading to simplicity in their day to day work.
机译:通过听力障碍和残疾人用来使用手语来互相沟通和世界其他地区。手语不仅仅是移动手指或手;它是一种可行且可见的语言,其中手势和面部表情发挥着非常重要的作用。就与人类的沟通而言,可以有效地使用这些标志,但是对于与机器的通信,必须开发更好的方法和算法。本文提供了一个可以由残疾人(可用标志语言通信的系统)与机器通信,以便将其用于他们的日常生活。该系统侧重于姿势估计手势,由物理残疾人使用,将合适的信号提供给机器。使用Mahalanobis距离度量的手势识别,使用剪影产生姿势。该系统还用于控制来自残疾人使用的不同手势的无线机器人。基本的美国手语符号I手,II手,船上,所有已经消失等等,并且传输了关于每个手势的特定信号,其控制机器人机器人以执行,向前,向后,左,右侧和通过禁用的.person为系统提供给系统的每个手势的停止操作。还可以建模本系统以在更糟糕的情况下发送无线SMS或电子邮件。该系统在使用姿势的剪影中估计运动和姿势来解释手语的效力。拟议的系统识别手语,从而提供残疾人媒体与机器沟通,导致他们日常工作中的简单性。

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