Human recognition through RFID: A distinct application of speech processing

Nilu Mishra, Archana Charkhawala
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引用次数: 1

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.
通过射频识别的人类识别:语音处理的独特应用
本文介绍了语音识别的一个独特的应用。它是说话人和语音识别的模糊应用。这使得具有数字通信概念的低成本识别系统能够降低计算复杂度。与其他检测方法相比,该方法可以方便、快速地检测人体。所提出的方法只是基于语音来识别人的行动计划。人类的声音在30-1100Hz的范围内,这是一个低音频,因此我们需要一个无源传感器(无源RFID系统),它给每个语音频率一个负责人类识别的标签。无源语音射频识别设备包括一个能量收集电路,该电路将自然和人工能源转换为电压和电流来为设备供电,因此,该设备不需要电池。它提供了一种具有语音功能的RFID设备,其功率收集电路通过收集来自各种人工或能源和/或自然能源(如:语音信号,其他电磁波,太阳光,振动,射频噪声等)的能量来供电,并使用接收到的语音信号来唯一地识别语音信号或其他声音信号的发生器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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