Demo: Hybrid Data-Driven and Context-Aware Activity Recognition with Mobile Devices

被引:1
作者
Civitarese, Gabriele [1 ]
Presotto, Riccardo [1 ]
Bettini, Claudio [1 ]
机构
[1] Univ Milan, Milan, Italy
来源
UBICOMP/ISWC'19 ADJUNCT: PROCEEDINGS OF THE 2019 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2019 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS | 2019年
关键词
activity recognition; hybrid reasoning; context-awareness;
D O I
10.1145/3341162.3343844
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We have designed and implemented a real-time hybrid activity recognition system which combines supervised learning on inertial sensor data from mobile devices and context-aware reasoning. We demonstrate how the context surrounding the user, combined with common knowledge about the relationship between this context and human activities, can significantly increase the ability to discriminate among activities when machine learning over inertial sensors has clear difficulties.
引用
收藏
页码:266 / 267
页数:2
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