Next Article in Journal
Integrated Navigation System Design for Micro Planetary Rovers: Comparison of Absolute Heading Estimation Algorithms and Nonlinear Filtering
Next Article in Special Issue
An Improved Interacting Multiple Model Filtering Algorithm Based on the Cubature Kalman Filter for Maneuvering Target Tracking
Previous Article in Journal
An Improved Measurement Method for the Strength of Radiation of Reflective Beam in an Industrial Optical Sensor Based on Laser Displacement Meter
Previous Article in Special Issue
Wireless Sensor Array Network DoA Estimation from Compressed Array Data via Joint Sparse Representation
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(5), 753;

myBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event Detection

1,†,* and 2
National Security Research Institute, Yuseong, Daejeon 305-600, Korea
Department of Computer Science, University of Colorado, Boulder, CO 80309, USA
Current address: Apt. 520-506, 567 Songpa-daero Songpa-gu, Seoul 05503, Korea
Author to whom correspondence should be addressed.
Academic Editor: Xue-Bo Jin
Received: 5 March 2016 / Revised: 8 May 2016 / Accepted: 16 May 2016 / Published: 23 May 2016
(This article belongs to the Special Issue Advances in Multi-Sensor Information Fusion: Theory and Applications)
Full-Text   |   PDF [2242 KB, uploaded 23 May 2016]   |  


We demonstrate the feasibility of constructing a novel and practical real-world mobile cloud system, called myBlackBox, that efficiently fuses multimodal smartphone sensor data to identify and log unusual personal events in mobile users’ daily lives. The system incorporates a hybrid architectural design that combines unsupervised classification of audio, accelerometer and location data with supervised joint fusion classification to achieve high accuracy, customization, convenience and scalability. We show the feasibility of myBlackBox by implementing and evaluating this end-to-end system that combines Android smartphones with cloud servers, deployed for 15 users over a one-month period. View Full-Text
Keywords: unusual event; mobile user; blackbox; behavior pattern; fusion unusual event; mobile user; blackbox; behavior pattern; fusion

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Ahn, J.; Han, R. myBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event Detection. Sensors 2016, 16, 753.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top