Prediction of User Context Using Smartphone Activity Data

Abstract

Predicting the context of the user who carries a smartphone, leveraging the huge amount of personal big data being generated (i.e., various sensors, including GPS, accelerometer, and gyroscope)

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 23, 2016
Source ID
FA23861514060

Entities

People

  • Jae-Gil Lee

Organizations

  • Air Force Office of Scientific Research
  • KAIST
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development
  • Inertial Navigation Systems.

Technology Areas

  • Space