Low-Cost Wireless Intelligent Two Hand Gesture Recognition System

被引:0
作者
Natesha, Aswin [1 ]
Rajan, Gandhi [1 ]
Thiagarajan, Balasubramanian [3 ]
Vijayaraghavan, Vineeth [2 ]
机构
[1] Solarill Fdn, Madras, Tamil Nadu, India
[2] Solarill Fdn, Res & Outreach, Madras, Tamil Nadu, India
[3] Sri Venkateswara Coll Engn, Madras, Tamil Nadu, India
来源
2017 11TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON) | 2017年
关键词
Bluetooth Low Energy (BLE); calibration; gesture recognition; microcontrollers; open source hardware; sensors; sign language recognition;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:300 / 305
页数:6
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