myBlackBox: blackbox mobile cloud systems for personalized unusual event detection

Junho Ahn*, Richard Han

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number753
Pages (from-to)1-20
Number of pages20
JournalSensors (Switzerland)
Volume16
Issue number5
DOIs
Publication statusPublished - May 2016
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Behavior pattern
  • Blackbox
  • Fusion
  • Mobile user
  • Unusual event

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