论文标题
通过电静电排放，使用植物作为生物传感器认识到个人及其情绪
Recognizing Individuals and Their Emotions Using Plants as Bio-Sensors through Electro-static Discharge
论文作者
论文摘要
通过测量人体的静电排放以及含羞草pudica和其他植物，响应人类运动，我们能够根据其独特的身体运动模式来识别（a）个体，其精度为66％的人体运动模式以及（b）基于步态特征的正情绪或负面情绪，其精度为85％。我们使用植物Spikerbox，该设备可测量电动作用电位，同时还测量植物叶子上电极与电容耦合的人体之间的静电放电。
By measuring the electrostatic discharge of human bodies together with Mimosa Pudica and other plants in response to the human movement, we have been able to recognize (a) individuals based on their distinctive pattern of body movements with 66% accuracy as well as (b) positive or negative mood based on their gait characteristics with 85% accuracy. We use the Plant SpikerBox, a device that measures the electrical action potential while also measuring the electrostatic discharge between the electrode on the leaves of a plant and the capacitively coupled human body.
