Rapid prototyping of activity recognition applications

被引：54

作者：

Bannach, David ^{[1
]}

Lukowicz, Paul ^{[2
]}

Amft, Oliver ^{[1
]}

机构：

[1] Univ Passau, ESL, D-94032 Passau, Germany

[2] ETH, Wearable Comp Lab, CH-8092 Zurich, Switzerland

来源：

IEEE PERVASIVE COMPUTING | 2008年 / 7卷 / 02期

关键词：

Activity recognition; Context recognition; CRN toolbox; Distributed processing; Gesture recognition; Mobile devices; Pattern recognition; Rapid prototyping; Wearable devices;

D O I：

10.1109/MPRV.2008.36

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Context Recognition Network (CRN) Toolbox permits fast implementation of activity and context recognition systems and featuring mechanisms for distributed processing and support for mobile and wearable devices. The CRN Toolbox is a tool set specifically optimized for the implementation of multi-modal, distributed activity and context recognition systems running on POSIX operating systems. The CRN Toolbox contains dedicated building blocks for interfacing a broad range of sensor nodes and support for synchronization, merging, and splitting of data streams. The CRN Toolbox simplifies the implementation of even such complex, distributed context recognition systems to the three steps including compiling the Toolbox for all platforms, selecting and configuring the algorithms and data flow for each platform, and starting the Toolbox on each platform with the dedicated configuration.

引用

页码：22 / 31

页数：10

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