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Low-cost wireless intelligent two hand gesture recognition system

机译：低成本无线智能两手手势识别系统

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摘要

This paper elucidates the design and implementation of a low-cost wireless intelligent two hand gesture recognition system. The proposed system consists of a primary and secondary sub-system which work in tandem to recognize static gestures signed by the user. Each of the sub-systems consists of a sensory glove, embedded with custom made, low-cost flex and contact sensors interfaced with a ATMega328 microcontroller. The two sub-systems are wirelessly inter-connected through a pair of TI's CC2541 Bluetooth Low Energy (BLE) modules. The system recognizes gestures with the help of a Dual-mode Intelligent Agent (DIA) which operates in Identification Mode (IM) and intelligently switches to Enhanced Identification Mode (EIM) when the gesture fails to get recognized in IM. The EIM incorporates a Bit Stream Error Elimination (BSEE) algorithm which enhances the gesture recognition accuracy without the addition of any external hardware. The performance of the system was evaluated using a data set comprising of 196 static gestures from eight globally used sign languages. The system efficiency was found to be 80.06% in IM and was enhanced to 93.16% in EIM. The cost of the proposed system in prototype stage is USD 22, which the authors believe could be realized at under USD 10 on commercialization.
机译：本文阐述了一种低成本的无线智能两手手势识别系统的设计与实现。所提出的系统由主要和次要子系统组成，这些子系统协同工作以识别用户签名的静态手势。每个子系统均包含一个感应手套，该手套嵌有与ATMega328微控制器连接的定制低成本低成本弯曲和接触传感器。这两个子系统通过一对TI的CC2541蓝牙低功耗（BLE）模块进行无线互连。该系统借助双模式智能代理（DIA）来识别手势，该双模式智能代理以识别模式（IM）运行，并在IM中无法识别手势时智能地切换到增强型识别模式（EIM）。 EIM集成了比特流错误消除（BSEE）算法，无需增加任何外部硬件即可提高手势识别的准确性。使用包含来自八种全球使用的手语的196个静态手势的数据集评估了系统的性能。发现IM中的系统效率为80.06％，在EIM中提高到93.16％。拟议中的系统在原型阶段的成本为22美元，作者相信，在商业化阶段，该成本可以低于10美元。

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