School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
Sensors (Basel). 2022 Feb 3;22(3):1158. doi: 10.3390/s22031158.
In order to develop a non-contact and simple gesture recognition technology, a recognition method with a charge induction array of nine electrodes is proposed. Firstly, the principle of signal acquisition based on charge induction is introduced, and the whole system is given. Secondly, the recognition algorithms, including the pre-processing algorithm and back propagation neural network (BPNN) algorithm, are given to recognize three input modes of hand gestures, digital input, direction input and key input, respectively. Finally, experiments of three input modes of hand gestures are carried out, and the recognition accuracy is 97.2%, 94%, and 100% for digital input, direction input, and key input, respectively. The outstanding characteristic of this method is the real-time recognition of three hand gestures in the distance of 2 cm without the need of wearing any device, as well as being low cost and easy to implement.
为了开发一种非接触式、简单的手势识别技术，提出了一种使用九个电极的电荷感应阵列的识别方法。首先，介绍了基于电荷感应的信号采集原理，并给出了整个系统。其次，给出了识别算法，包括预处理算法和反向传播神经网络（BPNN）算法，分别用于识别手手势的三种输入模式，即数字输入、方向输入和按键输入。最后，对手手势的三种输入模式进行了实验，数字输入、方向输入和按键输入的识别准确率分别为 97.2%、94%和 100%。该方法的突出特点是能够在 2 厘米的距离内实时识别三种手势，无需佩戴任何设备，成本低，易于实现。
