JOURNAL ARTICLE

Demo: Automatically generating interesting events with LifeJoin

Abstract

This demo will showcase LifeJoin, a system that collects raw sensor data from phones and laptop computers to generate interesting events. Given the raw sensor data, LifeJoin implements a number of activity recognition algorithms to generate higher-level events. Furthermore, it uses supervised learning techniques to learn from users' feedback to generate only events of interest. In this demo, the audience will get to interact with the LifeJoin system and be able to examine the internals of LifeJoin.

Keywords:
Laptop Computer science Raw data Human–computer interaction Multimedia Artificial intelligence Machine learning Operating system Programming language

Metrics

3
Cited By
1.11
FWCI (Field Weighted Citation Impact)
2
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Innovative Human-Technology Interaction
Physical Sciences →  Computer Science →  Human-Computer Interaction
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