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
Link To Document :
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