Recognizing user context via wearable sensors

被引：55

作者：

Clarkson, B ^{[1
]}

Mase, K ^{[1
]}

Pentland, A ^{[1
]}

机构：

[1] MIT, Media Lab, Cambridge, MA 02139 USA

来源：

FOURTH INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS, DIGEST OF PAPERS | 2000年

关键词：

contextual computing; peripheral sensing; Hidden Markov Models (HMM); computer vision; computer audition; wearable computing;

D O I：

10.1109/ISWC.2000.888467

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We describe experiments in recognizing a person's situation from only a wearable camera and microphone. The types of situations considered in these experiments are coarse locations (such as at work, in a subway or in a grocery store) and coarse events (such as in a conversation or walking down a busy street) that would require only global, non-attentional features to distinguish them.

引用

页码：69 / 75

页数：3