Editors

Xue-Bo Jin

Document Type

Article

Publication Date

5-23-2016

Publication Title

Sensors

ISSN

1424-8220

Volume

16

Issue

5

First Page

31708

Last Page

31708

DOI

https://doi.org/10.3390/s16050753

PubMed ID

27223292

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.

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