Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation
المؤلفون المشاركون
Xia, Fan
Zakia, Umme
Menon, Carlo
Bahreyni, Behraad
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-08
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
The accuracy of a capacitive proximity sensor is affected by various factors, including the geometry and composition of the nearby object.
The quantitative regression models that are used to seek out the relationship between the measured capacitances and distances to objects are highly dependent on the geometrical properties of the objects.
Consequently, the application of capacitive proximity sensors has been mainly limited to detection of objects rather than estimation of distances to them.
This paper presents a capacitive proximity sensing system for the detection of metallic objects with improved accuracy based on target profile estimation.
The presented approach alleviates large errors in distance estimation by implementing a classifier to recognize the surface profiles before using a suitable regression model to estimate the distance.
The sensing system features an electrode matrix that is configured to sweep a series of inner-connection patterns and produce features for profile classification.
The performance of the sensing modalities is experimentally assessed with an industrial robot.
Two-term exponential regression models provide a high degree of fittings for an object whose shape is known.
Recognizing the shape of the object improved the regression models and reduced the close-distance measurement error by a factor of five compared to methods that did not take the geometry into account.
The breakthroughs made through this work will make capacitive sensing a viable low-cost alternative to existing technologies for proximity detection in robotics and other fields.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xia, Fan& Zakia, Umme& Menon, Carlo& Bahreyni, Behraad. 2019. Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation. Journal of Sensors،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1187500
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xia, Fan…[et al.]. Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation. Journal of Sensors No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1187500
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xia, Fan& Zakia, Umme& Menon, Carlo& Bahreyni, Behraad. Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1187500
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187500
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر