• DocumentCode
    2042557
  • Title

    Human recognition through RFID: A distinct application of speech processing

  • Author

    Mishra, Nilu ; Charkhawala, Archana

  • Author_Institution
    Priyadarshini Coll. of Eng., Nagpur, India
  • Volume
    4
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    439
  • Lastpage
    443
  • Abstract
    This paper presents a distinct application of Speech recognition. It is indistinct application of speaker and speech recognition. This enables a low cost recognition system with digital communication concept which reduces computation complexity. The proposed method can detect the human easily and quickly compared with the other methods. The proposed method is just the plan of action used to recognize person on basis of speech The human vocal sound is in the range of 30-1100Hz which a low audio frequency, so for this we require a passive transducer (passive RFID System) which give each voice frequency a tag which is responsible for human recognition. The passive voice enabled RFID devices include a power harvesting circuit that converts natural and artificial energy sources to voltage and current to power the device, thus, the device does not require a battery. It provides a voice capable RFID device with a power harvesting circuit that is powered by harvesting energy from various artificial or energy sources and/or natural energy sources such as: voice signals, other electromagnetic waves, sun light, vibrations, RF noise, etc. and used voice signals received to uniquely identify a generator of the voice signals or other sound signals.
  • Keywords
    computational complexity; energy harvesting; radiofrequency identification; speaker recognition; speech processing; computation complexity; digital communication concept; frequency 30 Hz to 1100 Hz; human recognition; human vocal sound; passive transducer; passive voice enabled RFID; power harvesting circuit; radiofrequency identification; speaker recognition; speech processing; speech recognition; Digital filters; Hidden Markov models; Humans; IIR filters; Radiofrequency identification; Speech; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Computer Technology (ICECT), 2011 3rd International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4244-8678-6
  • Electronic_ISBN
    978-1-4244-8679-3
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2011.5941938
  • Filename
    5941938