Multivariate Analysis of Text Data from Image Information Acquired by Wearable Device

被引：0
|
作者：
Domoto, Eri [1 ]
Shibata, Junko [2 ]
Fukushima, Mizuki [3 ]
Okuhara, Koji [4 ]
机构：
[1] Hiroshima Univ Econ, Fac Econ, Hiroshima, Japan
[2] Kobe Gakuin Univ, Fac Econ, Kobe, Hyogo, Japan
[3] Fujitsu Hokuriku Syst Ltd, Kanazawa, Ishikawa, Japan
[4] Toyama Prefectural Univ, Grad Sch Engn, Toyama, Japan
来源：
2018 JOINT 10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 19TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) | 2018年
关键词：
Multivariate Analysis; Life Log; Behavior Pattern; Text Data Mining;
D O I：
10.1109/SCIS-ISIS.2018.00077
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, we obtain life log data from visibility information using smart glass which is a wearable device. In the proposed system, it consists of a text data collection part by cooperation between smart glass and image recognition API and activity recognition part. The activity recognition part incorporates multidimensional scaling analysis method and correspondence analysis for classifying data. As a result of utilizing the development system in real life, it was able to detect similarities and events for behavior from the difference of the object caught on sight.
引用
收藏
页码：405 / 408
页数：4
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