Capacitive Proximity Sensor Array With a Simple High Sensitivity Capacitance Measuring Circuit for Human-Computer Interaction
Capacitive Proximity Sensor Array With a Simple High Sensitivity Capacitance Measuring Circuit for Human-Computer Interaction
复制标题
用于人机交互的电容式接近传感器阵列，具有简单的高灵敏度电容测量电路
DOI：
10.1109/jsen.2018.2840093
复制
发表时间：
2018-07-15
影响因子：
4.3
通讯作者：
Qian, Gongbin
中科院分区：
文献类型：
--
作者：
Ye, Yong;He, Chunlong;Qian, Gongbin
电容式接近传感器使用电场来检测人体等非接触物体。由于其结构简单、成本低廉，是人机交互应用的一个有吸引力的选择。对于现有的电容式接近传感器系统，其检测范围小于20 cm，不能满足长距离传感应用的要求。这促使我们在本文中开发一种新的电容式接近传感器系统的人机交互。首先设计了一种由4 × 4梳状传感单元组成的电容式传感器阵列。整个阵列和单个单元的尺寸分别为30 cm x 30 cm和4 cm x 4 cm，这是综合考虑自然状态下的手摆动距离和传感距离。更具体地说，一个网格状的结构，包围传感器单元的外部保护的设计，以减少来自其相邻的细胞的串扰，并提出了一个简单的电容测量电路。与基于充放电、交流和CDC芯片的电容测量电路相比，该测量电路具有设计简单、灵敏度高（3.53 V/pF）、速度快（4 μ s）等优点。实验结果表明，该系统能够捕获45 cm范围内的手部运动，并利用手部位置跟踪算法得到手部运动轨迹。这些特点表明，该系统是非常适合在未来的人机交互应用，如康复训练和体感游戏。
Capacitive proximity sensor uses electric fields to detect contactless objects like human body. Owing to its simplicity and low cost, it is an attractive choice for the application of human-computer interaction. For existing capacitive proximity sensor systems, their detection ranges are less than 20 cm that cannot meet the requirements of the applications for long distance sensing. This motivates us to develop a new capacitive proximity sensor system for human-computer interaction in this paper. A capacitive sensor array, which consists of 4 x 4 sensor units with comb shapes, is first designed. The dimensions of the whole array and a single unit are, respectively, 30 cm x 30 cm and 4 cm x 4 cm, which are comprehensively considered with hand swing distance in natural state and the sensing distance. More specifically, an outer guard with a lattice-like structure which encloses sensor cells is designed to reduce the crosstalk from its neighboring cells, and a simple capacitance measuring circuit is presented. Comparing to the charge/discharge, ac-based and CDC-chip-based capacitance measuring circuit, the proposed measuring circuit offers plain design, highest sensitivity (3.53 V/pF), and fastest speed (4 mu s). The experimental results show that the system can capture hand motion up to 45 cm and get hand motion trajectory using the hand position tracking algorithm. These features indicate that the proposed system is very suitable for human-computer interaction applications in the future, such as rehabilitation training and somatosensory game.