An antennal electric signal detection system based on template matching_Journal of Biomedical Engineering

Authors：

WANG Jiajia ¹ ,  XING Qiang ^1,2 , JI Keju ² , WANG Wenbo ² , ZHU Longbiao ¹

1. School of Mechanical Engineering, Nantong University, Nantong, Jiangsu 226019, P. R. China;
2. Jiangsu Provincial Key Laboratory of Bionic Functional Materials, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China;

Corresponding author：

XING Qiang, Email: meexq@ntu.edu.cn

Keywords：

Antennal perception; Bioelectrophysiology; Template matching; Image processing; Honeybee

DOI：

10.7507/1001-5515.202112049

Video：

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As the most efficient perception system in nature, the perception mechanism of the insect (such as honeybee) antennae is the key to imitating the high-performance sensor technology. An automated experimental device suitable for collecting electrical signals (including antenna reaction time information) of antennae was developed, in response to the problems of the non-standardized experimental process, interference of manual operation, and low efficiency in the study of antenna perception mechanism. Firstly, aiming at the automatic identification and location of insect heads in experiments, the image templates of insect head contour features were established. Insect heads were template-matched based on the Hausdorff method. Then, for the angle deviation of the insect heads relative to the standard detection position, a method that calculates the angle of the insect head mid-axis based on the minimum external rectangle of the long axis was proposed. Eventually, the electrical signals generated by the antennae in contact with the reagents were collected by the electrical signal acquisition device. Honeybees were used as the research object in this study. The experimental results showed that the accuracy of template matching could reach 95.3% to locate the bee head quickly, and the deviation angle of the bee head was less than 1°. The distance between antennae and experimental reagents could meet the requirements of antennae perception experiments. The parameters, such as the contact reaction time of honeybee antennae to sucrose solution, were consistent with the results of the manual experiment. The system collects effectively antenna contact signals in an undisturbed state and realizes the standardization of experiments on antenna perception mechanisms, which provides an experimental method and device for studying and analyzing the reaction time of the antenna involved in biological antenna perception mechanisms.

Citation： WANG Jiajia, XING Qiang, JI Keju, WANG Wenbo, ZHU Longbiao. An antennal electric signal detection system based on template matching. Journal of Biomedical Engineering, 2022, 39(4): 767-775, 783. doi: 10.7507/1001-5515.202112049 Copy

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20.	刘凯, 夏苗, 杨晓梅. 一种平面点集的高效凸包算法. 工程科学与技术, 2017, 49(5): 109-116.
21.	张法全, 王国富, 曾庆宁, 等. 利用重心原理的图像目标最小外接矩形快速算法. 红外与激光工程, 2013, 42(5): 1382-1387.
22.	尹琪敏, 李晓欧, 刘巧红. 具有表面肌电反馈的功能性阵列电极电刺激系统设计. 生物医学工程学杂志, 2020, 37(6): 1045-1055.
23.	黄可馨, 李思颖, 李素素, 等. 用于动物实验的经颅直流刺激仪研制. 传感器与微系统, 2018, 37(8): 72-75.
24.	孙中标, 叶继伦, 张旭, 等. 生物电阻抗测量方法进展及应用. 中国医疗器械杂志, 2021, 45(3): 296-300.
25.	何想, 覃元元, 苏明亮, 等. 生物阻抗身份识别研究. 生物医学工程学杂志, 2016, 33(4): 609-615.
26.	陈就, 王小松, 张海英, 等. 一种低功耗低噪声仪表放大器的设计. 微电子学, 2017, 47(5): 593-596.
27.	何峰, 李刚, 林凌. 基于过采样的通用生物电检测系统的实现. 天津大学学报, 2008, 41(10): 1178-1182.
28.	Matsumoto Y, Menzel R, Sandoz J C, et al. Revisiting olfactory classical conditioning of the proboscis extension response in honeybees: a step toward standardized procedures. J Neurosci Methods, 2012, 211(1): 159–167.
29.	Baracchi D, Rigosi E, de Brito Sanchez G, et al. Lateralization of sucrose responsiveness and non-associative learning in honeybees. Front Psychol, 2018, 9: 425.
30.	李莎, 蒋铭媛, 谢军, 等. 织物基表面生物电干电极的性能评价仪器及方法. 生物医学工程学杂志, 2019, 36(3): 460-467.

1. 秦臻, 董琪, 胡靓, 等. 仿生嗅觉与味觉传感技术及其应用的研究进展. 中国生物医学工程学报, 2014, 33(5): 609-619.
2. 赵利明, 董明利, 李红, 等. 仿生柔性触角形状感知光纤传感方法研究. 激光与红外, 2018, 48(4): 509-514.
3. Haupt S S. Antennal sucrose perception in the honey bee (Apis mellifera L.): behaviour and electrophysiology. J Comp Physiol A, 2004, 190(9): 735-745.
4. Haupt S S. Central gustatory projections and side-specificity of operant antennal muscle conditioning in the honeybee. J Comp Physiol A, 2007, 193(5): 523-535.
5. Guiraud M, Hotier L, Giurfa M, et al. Aversive gustatory learning and perception in honey bees. Scientific Reports, 2018, 8:1343-1355.
6. Zhao J, Li Z, Zhao Z, et al. Electroantennogram reveals a strong correlation between the passion of honeybee and the properties of the volatile. Brain and Behavior, 2020, 10: 1603-1608.
7. 钱明惠, 黄咏槐, 黄泽翰, 等. 星天牛对寄主植物枝叶浸提物的触角电位反应. 环境昆虫学报, 2018, 40(3): 690-694.
8. 刘永梅, 李瑞莹, 张学尧, 等. 飞蝗对两种禾本科植物挥发物的触角电位和行为反应. 应用昆虫学报, 2020, 57(2): 329-336.
9. 唐军, 刘尧, 刘俊, 等. 基于飞蛾触角的仿生MEMS导航传感器的设计与仿真. 传感技术学报, 2012, 25(5): 561-565.
10. Zhu L L, Zeng L Z, Chen X D, et al. A bioinspired touching sensor for amphibious mobile robots. Advanced Robotics, 2015, 29(22): 1437-1452.
11. 谢清华, 谷安, 但春华. 基于PSD的机器人触须传感器系统. 机电一体化, 2007, 14(2): 64-67.
12. 李明义, 谷安, 郑汉卿. 机器人触须传感器的研究及应用. 自动化技术与应用, 2015, 34(9): 44-47.
13. Anderson D J, Perona P. Toward a science of computational ethology. Neuron, 2014, 84(1): 18–31.
14. 史丽娟, 王斯博, 赵剑, 等. 基于LVRT系统的动物行为学实验系统. 仪器仪表学报, 2021, 42(1): 137-145.
15. Zhou F, Kang L, Wang X H. JumpDetector: an automated monitoring equipment for the locomotion of jumping insects. Insect Sci, 2020, 27(3): 613-624.
16. Shokaku T, Moriyama T, Murakami H, et al. Development of an automatic turntable-type multiple T-maze device and observation of pill bug behavior. Rev Sci Instrum, 2020, 91(10): 104104-101116.
17. Liao Caiying, Xu Yuejun, Sun Yu, et al. Feeding behavior of honey bees on dry sugar. J Insect Physiol, 2020, 124: 104059.
18. Chole H, Junca P, Sandoz J C. Appetitive but not aversive olfactory conditioning modifies antennal movements in honeybees. Learning & Memory, 2015, 22(12): 604–616.
19. 高晶, 孙继银, 吴昆, 等. 基于形状模板匹配的前视红外目标检测方法. 北京工业大学学报, 2012, 38(9): 1359-1365.
20. 刘凯, 夏苗, 杨晓梅. 一种平面点集的高效凸包算法. 工程科学与技术, 2017, 49(5): 109-116.
21. 张法全, 王国富, 曾庆宁, 等. 利用重心原理的图像目标最小外接矩形快速算法. 红外与激光工程, 2013, 42(5): 1382-1387.
22. 尹琪敏, 李晓欧, 刘巧红. 具有表面肌电反馈的功能性阵列电极电刺激系统设计. 生物医学工程学杂志, 2020, 37(6): 1045-1055.
23. 黄可馨, 李思颖, 李素素, 等. 用于动物实验的经颅直流刺激仪研制. 传感器与微系统, 2018, 37(8): 72-75.
24. 孙中标, 叶继伦, 张旭, 等. 生物电阻抗测量方法进展及应用. 中国医疗器械杂志, 2021, 45(3): 296-300.
25. 何想, 覃元元, 苏明亮, 等. 生物阻抗身份识别研究. 生物医学工程学杂志, 2016, 33(4): 609-615.
26. 陈就, 王小松, 张海英, 等. 一种低功耗低噪声仪表放大器的设计. 微电子学, 2017, 47(5): 593-596.
27. 何峰, 李刚, 林凌. 基于过采样的通用生物电检测系统的实现. 天津大学学报, 2008, 41(10): 1178-1182.
28. Matsumoto Y, Menzel R, Sandoz J C, et al. Revisiting olfactory classical conditioning of the proboscis extension response in honeybees: a step toward standardized procedures. J Neurosci Methods, 2012, 211(1): 159–167.
29. Baracchi D, Rigosi E, de Brito Sanchez G, et al. Lateralization of sucrose responsiveness and non-associative learning in honeybees. Front Psychol, 2018, 9: 425.
30. 李莎, 蒋铭媛, 谢军, 等. 织物基表面生物电干电极的性能评价仪器及方法. 生物医学工程学杂志, 2019, 36(3): 460-467.

Journal of Biomedical Engineering

An antennal electric signal detection system based on template matching

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