Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot
The electroantennogram (EAG) is a technique used for measuring electrical signals from the antenna of an insect. Its rapid response time, quick recovery speed, and high sensitivity make it suitable for odour-tracking tasks employing mobile robots. However, its application to flying robots has not be...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/20/4574 |
_version_ | 1798039583660703744 |
---|---|
author | Bluest Lan Ryohei Kanzaki Noriyasu Ando |
author_facet | Bluest Lan Ryohei Kanzaki Noriyasu Ando |
author_sort | Bluest Lan |
collection | DOAJ |
description | The electroantennogram (EAG) is a technique used for measuring electrical signals from the antenna of an insect. Its rapid response time, quick recovery speed, and high sensitivity make it suitable for odour-tracking tasks employing mobile robots. However, its application to flying robots has not been extensively studied owing to the electrical and mechanical noises generated. In this study, we investigated the characteristics of the EAG mounted on a tethered flying quadcopter and developed a special counter-based algorithm for detecting the odour-generated responses. As the EAG response is negative, the algorithm creates a window and compares the values inside it. Once a value is smaller than the first one, the counter will increase by one and finally turns the whole signal into a clearer odour stimulated result. By experimental evaluation, the new algorithm gives a higher cross-correlation coefficient when compared with the fixed-threshold method. The result shows that the accuracy of this novel algorithm for recognising odour-evoked EAG signals from noise exceeds that of the traditional method; furthermore, the use of insect antennae as odour sensors for flying robots is demonstrated to be feasible. |
first_indexed | 2024-04-11T21:55:53Z |
format | Article |
id | doaj.art-63e22588964a4b9d8d98fbfbaa25d14b |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T21:55:53Z |
publishDate | 2019-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-63e22588964a4b9d8d98fbfbaa25d14b2022-12-22T04:01:07ZengMDPI AGSensors1424-82202019-10-011920457410.3390/s19204574s19204574Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying RobotBluest Lan0Ryohei Kanzaki1Noriyasu Ando2Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Meguro-ku, Komaba, Tokyo 153-8904, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Meguro-ku, Komaba, Tokyo 153-8904, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Meguro-ku, Komaba, Tokyo 153-8904, JapanThe electroantennogram (EAG) is a technique used for measuring electrical signals from the antenna of an insect. Its rapid response time, quick recovery speed, and high sensitivity make it suitable for odour-tracking tasks employing mobile robots. However, its application to flying robots has not been extensively studied owing to the electrical and mechanical noises generated. In this study, we investigated the characteristics of the EAG mounted on a tethered flying quadcopter and developed a special counter-based algorithm for detecting the odour-generated responses. As the EAG response is negative, the algorithm creates a window and compares the values inside it. Once a value is smaller than the first one, the counter will increase by one and finally turns the whole signal into a clearer odour stimulated result. By experimental evaluation, the new algorithm gives a higher cross-correlation coefficient when compared with the fixed-threshold method. The result shows that the accuracy of this novel algorithm for recognising odour-evoked EAG signals from noise exceeds that of the traditional method; furthermore, the use of insect antennae as odour sensors for flying robots is demonstrated to be feasible.https://www.mdpi.com/1424-8220/19/20/4574odourrobotelectroantennogramsignal processinginsectdrone |
spellingShingle | Bluest Lan Ryohei Kanzaki Noriyasu Ando Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot Sensors odour robot electroantennogram signal processing insect drone |
title | Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot |
title_full | Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot |
title_fullStr | Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot |
title_full_unstemmed | Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot |
title_short | Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot |
title_sort | dropping counter a detection algorithm for identifying odour evoked responses from noisy electroantennograms measured by a flying robot |
topic | odour robot electroantennogram signal processing insect drone |
url | https://www.mdpi.com/1424-8220/19/20/4574 |
work_keys_str_mv | AT bluestlan droppingcounteradetectionalgorithmforidentifyingodourevokedresponsesfromnoisyelectroantennogramsmeasuredbyaflyingrobot AT ryoheikanzaki droppingcounteradetectionalgorithmforidentifyingodourevokedresponsesfromnoisyelectroantennogramsmeasuredbyaflyingrobot AT noriyasuando droppingcounteradetectionalgorithmforidentifyingodourevokedresponsesfromnoisyelectroantennogramsmeasuredbyaflyingrobot |