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  4. Hand-Arm Vibration Estimation Using A Commercial Smartwatch
 
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2019
Conference Paper
Titel

Hand-Arm Vibration Estimation Using A Commercial Smartwatch

Titel Supplements
Abstract
Abstract
Measuring Hand-Arm Vibration (HAV) exposure is important to prevent permanent injuries, such as the White Finger / Raynaud Syndrome. Current measuring solutions require an individual attachment of those work tools that emit considerable vibrations. These sensing instruments are expensive and usually require a setup by experts. Additionally, these attached sensors are bulky and wired, which may further increase the risk of accidents in occupational safety. For an easy use, we propose using a Smartwatch to estimate the HAV doses gathered throughout the day. By utilizing the Smartwatch's Inertial Measuring Unit (IMU) that is sampling up to 800Hz, we are capable of reconstructing vibrations up to 400Hz. This range sufficiently covers the majority of harmful HAV loads that occurs with work tools. Our approach is an inexpensive solution that provides a rough estimation to indicate a vibration overload. Our solution does not require the specific tool type or datasheet.
Author(s)
Matthies, Denys J.C.
Univ. of Auckland, NZ
Haescher, Marian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Bieber, Gerald
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Nanayakkara, Suranga
Univ. of Auckland, NZ
Hauptwerk
14th International Conference on Hand-Arm Vibration 2019. Abstracts
Konferenz
International Conference on Hand-Arm Vibration 2019
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DOI
10.13140/RG.2.2.20412.28809
Externer Link
Externer Link
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • mobile assistance

  • personal health

  • Lead Topic: Individual Health

  • Research Line: Human computer interaction (HCI)

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