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AGIS: Automated tool detection & hand-arm vibration estimation using an unmodified smartwatch

 
: Matthies, Denys J.C.; Bieber, Gerald; Kaulbars, Uwe

:
Postprint urn:nbn:de:0011-n-4288676 (3.6 MByte PDF)
MD5 Fingerprint: a06f59b23160771a7c330a86a64db755
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Erstellt am: 20.9.2017


Matthies, Denys J.C. (Ed.); Haescher, Marian (Ed.); Bieber, Gerald (Ed.); Urban, Bodo (Ed.) ; Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Computer and Human Interaction -SIGCHI-:
iWOAR 2016, 3rd international Workshop on Sensor-based Activity Recognition and Interaction. Proceedings : June 23 - 24, 2016, Fraunhofer IGD, Univerity of Rostock
New York: ACM Press, 2016 (ACM International Conference Proceedings Series 1183)
ISBN: 978-1-4503-4245-2
Art. 8, 4 S.
International Workshop on Sensor-based Activity Recognition (iWOAR) <3, 2016, Rostock>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
Fraunhofer IGD-R ()
activity recognition; smart watches; wearable computing; assistive technologies; Guiding Theme: Digitized Work; Research Area: Human computer interaction (HCI)

Abstract
Over the past three decades, it has been known that longlasting and intense hand-arm vibrations (HAV) can cause serious diseases, such as the Raynaud- / White Finger- Syndrome. In order to protect workers nowadays, the longterm use of tools such as a drill, grinder, rotary hammer etc. underlie strict legal regulations. However, users rarely comply with these regulations because it is quite hard to manually estimate vibration intensity throughout the day. Therefore, we propose a wearable system that automatically counts the daily HAV exposure doses due to the fact that we are able to determine the currently used tool. With the implementation of AGIS, we demonstrate the technical feasibility of using the integrated microphone and accelerometer from a commercial smartwatch. In contrast to prior works, our approach does not require a technical modification of the smartwatch nor an instrumentation of the environment or the tool. A pilot study shows our proof of- concept to be applicable in real workshop environments.

: http://publica.fraunhofer.de/dokumente/N-428867.html