• DocumentCode
    2754250
  • Title

    Low-power software for low-power people

  • Author

    Snyder, J.H. ; McKie, J.B. ; Locanthi, B.N.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1994
  • fDate
    10-12 Oct. 1994
  • Firstpage
    32
  • Lastpage
    35
  • Abstract
    We have been working towards portable terminals that interact with the user via speech synthesis, automatic speech recognition, and handwriting recognition. Our work includes the development of hardware platforms, operating system (OS) and application software; and the adaptation of signal processing algorithms to these systems. Although we will describe HoBo3, the hardware platform for this work, our primary interest will be in discussing software issues that are relevant to low-power portable computing. We compare a modern Unix implementation with the OS we use, "Plan9 from Bell Labs", and draw from this comparison a number of lessons relevant for the design of low-power software.
  • Keywords
    portable computers; HoBo3; Plan9; automatic speech recognition; handwriting recognition; hardware platforms; low-power portable computing; low-power software; operating system; portable terminals; signal processing algorithms; software issues; speech synthesis; Automatic speech recognition; Energy consumption; Handwriting recognition; Hardware; Mobile computing; Operating systems; Portable computers; Signal processing algorithms; Speech codecs; Speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Low Power Electronics, 1994. Digest of Technical Papers., IEEE Symposium
  • Conference_Location
    San Diego, CA, USA
  • Print_ISBN
    0-7803-1953-2
  • Type

    conf

  • DOI
    10.1109/LPE.1994.573193
  • Filename
    573193