Force localization estimation using a designed soft tactile sensor

Merve Acer; Adnan Furkan Yıldız

doi:10.1007/978-3-030-01887-0_2

Force localization estimation using a designed soft tactile sensor

Merve Acer^*
, Adnan Furkan Yıldız

^*Bu çalışma için yazışmadan sorumlu yazar

Makina Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

1 Atıf (Scopus)

Özet

Wearable tactile sensors are significant in biomedical robotic applications where force feedback is important. In this work, a soft tactile sensor is proposed for force localization. The tactile sensor was manufactured by using layer-by-layer technique that enables flexibility. The sensor has 9 lead zirconate titanate (PZT) elements placed in 3 × 3 matrix form which are 4 × 4 mm² and the spatial resolution is 3 mm. The voltage values gathered from the sensor were conditioned by a charge amplifier circuit. A human inspired machine learning procedure called Neural Networks was used for force localization. The success rates with respect to different network structures were presented and the maximum success was realized as 80.71%.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Biosystems and Biorobotics
Yayınlayan	Springer International Publishing
Sayfalar	8-12
Sayfa sayısı	5
DOI'lar	https://doi.org/10.1007/978-3-030-01887-0_2
Yayın durumu	Yayınlandı - 2019

Yayın serisi

Adı	Biosystems and Biorobotics
Hacim	22
ISSN (Basılı)	2195-3562
ISSN (Elektronik)	2195-3570

Bibliyografik not

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Finansman

This project is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) with the project number: 215E139.

Finansörler	Finansör numarası
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu	215E139

Belgeye Erişim

10.1007/978-3-030-01887-0_2

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Force localization estimation using a designed soft tactile sensor",

abstract = "Wearable tactile sensors are significant in biomedical robotic applications where force feedback is important. In this work, a soft tactile sensor is proposed for force localization. The tactile sensor was manufactured by using layer-by-layer technique that enables flexibility. The sensor has 9 lead zirconate titanate (PZT) elements placed in 3 × 3 matrix form which are 4 × 4 mm2 and the spatial resolution is 3 mm. The voltage values gathered from the sensor were conditioned by a charge amplifier circuit. A human inspired machine learning procedure called Neural Networks was used for force localization. The success rates with respect to different network structures were presented and the maximum success was realized as 80.71\%.",

author = "Merve Acer and Yıldız, \{Adnan Furkan\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.",

year = "2019",

doi = "10.1007/978-3-030-01887-0\_2",

language = "English",

series = "Biosystems and Biorobotics",

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PY - 2019

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AB - Wearable tactile sensors are significant in biomedical robotic applications where force feedback is important. In this work, a soft tactile sensor is proposed for force localization. The tactile sensor was manufactured by using layer-by-layer technique that enables flexibility. The sensor has 9 lead zirconate titanate (PZT) elements placed in 3 × 3 matrix form which are 4 × 4 mm2 and the spatial resolution is 3 mm. The voltage values gathered from the sensor were conditioned by a charge amplifier circuit. A human inspired machine learning procedure called Neural Networks was used for force localization. The success rates with respect to different network structures were presented and the maximum success was realized as 80.71%.

UR - https://www.scopus.com/pages/publications/85055026108

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DO - 10.1007/978-3-030-01887-0_2

M3 - Chapter

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T3 - Biosystems and Biorobotics

SP - 8

EP - 12

BT - Biosystems and Biorobotics

PB - Springer International Publishing

ER -

Force localization estimation using a designed soft tactile sensor

Özet

Yayın serisi

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap