A Custom Computer-Controlled Fluid Mixing and Dispensing System for Sweat Sensor Testing Applications

Andrew Brueck, Kyle Bates, Trent Wood, William House, Zackary Martinez, Shannon Peters, Blain Root, Kumar Yelamarthi, Talga Kaya

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

We propose a completely automatized, computer-controlled fluid mixing and dispensing system that is suitable for testing sweat sensing devices. The design is based on Raspberry Pi that controls almost a dozen electronic relays and switches. Easy to use graphical user interface allows end users conduct the tests without any technical problems. A dragon skin based arm mold was also prototyped with pores to simulate a close to real-life arm prototype that sweats. Relay controlled mixing tanks allow different concentration of fluid solutions at various rates of fluid dispensing through pores. With the recent advances in sweat sensors, this platform offers a unique way of testing developed sensing devices before human tests both in development and before testing phases.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2018 IEEE International Conference on Electro/Information Technology, EIT 2018
YayınlayanIEEE Computer Society
Sayfalar477-480
Sayfa sayısı4
ISBN (Elektronik)9781538653982
DOI'lar
Yayın durumuYayınlandı - 18 Eki 2018
Harici olarak yayınlandıEvet
Etkinlik2018 IEEE International Conference on Electro/Information Technology, EIT 2018 - Rochester, United States
Süre: 3 May 20185 May 2018

Yayın serisi

AdıIEEE International Conference on Electro Information Technology
Hacim2018-May
ISSN (Basılı)2154-0357
ISSN (Elektronik)2154-0373

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???event.eventtypes.event.conference???2018 IEEE International Conference on Electro/Information Technology, EIT 2018
Ülke/BölgeUnited States
ŞehirRochester
Periyot3/05/185/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Finansman

ACKNOWLEDGMENT This work was funded in part by the National Science Foundation under Grant #1542368 and Central Michigan University’s School of Engineering and Technology. This work was funded in part by the National Science Foundation under Grant #1542368 and Central Michigan University's School of Engineering and Technology.

FinansörlerFinansör numarası
Central Michigan University’s School of Engineering and Technology
National Science Foundation1542368
National Science Foundation

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