Multivariate Analysis of Text Data from Image Information Acquired by Wearable Device
- Resource Type
- Conference
- Authors
- Domoto, Eri; Shibata, Junko; Fukushima, Mizuki; Okuhara, Koji
- Source
- 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018 Joint 10th International Conference on. :405-408 Dec, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Smart glasses
Image recognition
Data mining
Data collection
Activity recognition
Economics
Global Positioning System
Multivariate Analysis
Life Log
Behavior Pattern
Text Data Mining
- Language
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.