Smart Gloves: A novel 3-D Work Space Generation for Compound Two Hand Gestures

H. Bhardawaj, Mohit Dhaker, K. Sivani, H. Vardhan
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引用次数: 2

Abstract

Speechlessness is a colossal barrier of communication between the ordinary people and the speech impaired. This paper presents a novel methodology with a working model which is used to convert the sign language to speech in order to help speech impaired people. It uses flex sensor and Inertial Measurement Unit in order to determine the position of finger as well as the position of hand in 3-Dimensional space. These sensors are embedded into the gloves, which when processed, outputs the accurate gesture which has been made by the user, thereby making it smart. The paper also presents a unique division of a matrix in 3-Dimensional space comprising of states. These states have to be estimated in a generalized manner in order to be used by anybody irrespective of their gender or height. The paper also highlights the use of both hands for compound two hand gestures with static and dynamic gesture recognition system. The smart gloves can further be used in a variety of applications such as motion sensing gaming, remote medical diagnosis, and robotics.
智能手套:一种新的复合手势的三维工作空间生成
无语是普通人与语言障碍者交流的巨大障碍。本文提出了一种将手语转化为语言的新方法和工作模型,以帮助语言障碍人士。它使用了弯曲传感器和惯性测量单元来确定手指的位置以及手在三维空间中的位置。这些传感器嵌入到手套中,经过处理后,手套会输出用户做出的准确手势,从而使其变得智能。本文还给出了由状态组成的三维空间中矩阵的唯一除法。这些州必须以一种广义的方式进行估计,以便任何人都可以使用,而不管他们的性别或身高。本文还重点介绍了静态和动态手势识别系统中双手复合手势的使用。智能手套可以进一步用于各种应用,如体感游戏,远程医疗诊断和机器人技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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