• DocumentCode
    1894813
  • Title

    A warning system for chainsaw personal safety based on capacitive sensing

  • Author

    George, Boby ; Zangl, Hubert ; Bretterklieber, Thomas

  • Author_Institution
    Inst. of Electr. Meas. & Meas. Signal Process., Graz Univ. of Technol., Graz
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    419
  • Lastpage
    422
  • Abstract
    This paper presents a capacitive proximity sensor that helps to improve the personal safety features of a chainsaw. Even though chainsaws are equipped with safety features such as kickback protection and chain brakes, related accidents reported each year are huge in number. Safety can be enhanced to a high degree, by integrating human proximity sensing features to the chainsaw and hence activating its brake and turn-off the chainsaw automatically in the occurrence of an accident. This paper proposes a capacitive sensor to detect human proximity near the guide bar and chain of a chainsaw. A prototype sensing system has been developed and tested, validating the usefulness of the proposed scheme. The sensor capacitances are measured using a carrier frequency method with synchronous detection technique. The developed system provides information about human proximity at least for every 200 mus and hence enables the control unit to react in realtime. The system successfully distinguishes between proximity of human and wood. The developed system senses human proximity up to 15 cm from the chainsaw.
  • Keywords
    alarm systems; capacitive sensors; hand tools; safety systems; sawing machines; capacitive proximity sensor; capacitive sensing; chain brakes; chainsaw personal safety; kickback protection; warning system; Accidents; Alarm systems; Capacitance; Capacitive sensors; Humans; Protection; Prototypes; Safety devices; Sensor phenomena and characterization; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2008 IEEE
  • Conference_Location
    Lecce
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-2580-8
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2008.4716467
  • Filename
    4716467