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首页> 外文会议>Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International >Smartphones as a platform for advanced measurement and processing
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Smartphones as a platform for advanced measurement and processing

机译：智能手机作为高级测量和处理平台

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摘要

Current smartphones house a wide variety of sensors and the processing power has increased heavily in recent years. These capabilities can be exploited to implement smartphones as mobile sensing and processing devices in a wide range of applications. This paper discusses two initial biometric applications which were implemented on a standard PC and a Nexus S smartphone to analyze the relative processing power of each. In addition to providing benchmarks for the processing power of the smartphone and PC platforms, such a biometric implementation also serves as a proof-of-concept measurement and processing application. For the initial experiments a speaker recognition system was developed in Java and a face recognition system was developed in C++ (native Android code for the smartphone) using existing open source software libraries. The non-native Java application was found to be about 30 times slower on the phone than on the PC and the native C++ application was about 21 times slower.
机译：当前的智能手机装有各种各样的传感器，并且近年来处理能力大大提高。可以利用这些功能将智能手机实现为广泛的应用中的移动感应和处理设备。本文讨论了两种初始生物识别应用程序，它们在标准PC和Nexus S智能手机上实现，以分析每种应用程序的相对处理能力。除了为智能手机和PC平台的处理能力提供基准外，这种生物识别技术的实现还可以用作概念验证的测量和处理应用程序。对于最初的实验，使用现有的开源软件库，以Java开发了说话人识别系统，并以C ++（用于智能手机的本地Android代码）开发了人脸识别系统。发现非本地Java应用程序在电话上的运行速度比PC慢30倍，而本地C ++应用程序的运行速度比PC慢21倍。

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