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A Wearable System Designed for Chinese Traffic Police Based on Gesture Recognition

机译:一种可穿戴系统,专为中国交警基于姿态识别而设计

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The body language and gestures of the traffic police can be difficult to identify accurately, especially in China, where there is often fog and haze. Poor judgment and slow recognition will reduce the efficiency of traffic management, and can even cause traffic accidents. To solve this problem, a wearable system has been designed for the traffic police. This wearable system consists of two main parts: a pair of data gloves and a vest with a light-emitting diode (LED) display. The data gloves were utilized to recognize and record the gestures of the traffic police. The gesture signals were converted into traffic instructions and displayed on the vest. The effectiveness of this wearable system was verified through a comparison experiment between only gesture and gesture plus displaying text on the vest. To achieve best effects of recognition, according to the results of further experiment, the simple instructions (stop, move straight, turn left waiting, turn right, and change lane) should be displayed in the form of an image, whereas the complex instructions (turn left, wait, slow down, and pull over) should be displayed in text form.
机译:交通警察的肢体语言和姿态可能很难准确识别,特别是在中国,在那里经常雾和阴霾。判断不佳和慢速识别将降低交通管理的效率,甚至可以造成交通事故。为了解决这个问题,为交警设计了一种可穿戴系统。这种可穿戴系统由两个主要部分组成:一对数据手套和带有发光二极管(LED)显示的背心。数据手套被利用来识别并记录交警的姿势。手势信号被转换为交通指令并显示在背心上。通过仅在背心上显示文本的手势和手势之间的比较实验来验证这种可穿戴系统的有效性。为了达到识别的最佳效果,根据进一步实验的结果,简单的指令(停止,移动,左转等待,右转,改变车道)应以图像的形式显示,而复杂的指令(左转,等待,慢下来,拉过来)应以文本形式显示。

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