Wearable activity tracking in car manufacturing

被引：235

作者：

Stiefmeier, Thomas ^{[1
]}

Roggen, Daniel

Troester, Gerhard ^{[1
]}

Ogris, Georg

Lukowicz, Paul ^{[1
]}

机构：

[1] ETH, Elect Lab, CH-8092 Zurich, Switzerland

来源：

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

关键词：

Applications; Artificial intelligence; Computers in education; Mobile applications; Models; Pattern recognition; Wearable AI;

D O I：

10.1109/MPRV.2008.40

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A context-aware wearable computing system could support a production or maintenance worker and could recognize the worker's actions and deliver just-in-time information about activities that are to be performed. European car manufacturer Skoda demonstrate how the system supports the training of assembly workers and quality assurance in the assembly. Skoda assembly-line workers follow a two-step training process, in which they first receive classroom instruction on the theoretical background of car assembly and now they are practicising on a learning island that consists of a specially prepared car body that allows repeated assembly and removal of relevant compounds. Wearable assistance provided online instructions to the trainees about upcoming assembly steps, thereby streamlining the training.

引用

页码：42 / 50

页数：9

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