首页> 外文会议>International Conference on Computer Communication and Informatics >Efficient Hand Gesture Recognition for Traffic Control System Using ti Sensor Tag
【24h】

Efficient Hand Gesture Recognition for Traffic Control System Using ti Sensor Tag

机译:使用ti传感器标签的交通控制系统的高效手势识别

获取原文

摘要

In this paper, we are describing the hand gesture recognition mechanism using the accelerometer values of the TI Sensor Tag for controlling the Traffic lights. The TI Sensor Tag is aBLE (Bluetooth Low Energy) device which consumes very low power during its operation and it uses single coin battery for months of life. It uses the Bluez Library for reading the data from different sensors of Sensor Tag. Now-a-days the traffic on the road has been increasing drastically due to increase in number of vehicle users. On the other hand the simple time based traffic control system is not sufficient for controlling the uneven traffic on the roads during peak hours, which calls for a new Traffic control system. The gesture technology has become very popular for HMI (Human Machine Interface), which provides a virtual environment for controlling devices by giving Gestures. Here we used the Ti Sensor Tag for Hand Gesture Recognition.
机译:在本文中,我们将描述使用TI Sensor Tag的加速度计值控制交通信号灯的手势识别机制。 TI传感器标签是一种BLE(蓝牙低能耗)设备,在其运行期间消耗的功率非常低,并且使用单个硬币电池可维持数月的使用寿命。它使用Bluez库从Sensor Tag的不同传感器读取数据。如今,由于车辆使用者数量的增加,道路上的交通量急剧增加。另一方面,简单的基于时间的交通控制系统不足以控制高峰时段道路上的交通不均衡,这就需要一种新的交通控制系统。手势技术已在HMI(人机界面)中非常流行,它通过提供手势为控制设备提供了虚拟环境。在这里,我们将Ti传感器标签用于手势识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号