Article
myBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event Detection. 公开 Deposited
https://scholar.colorado.edu/concern/articles/ht24wj99c
- 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.
- Creator
- Date Issued
- 2016-05-23
- Academic Affiliation
- Journal Title
- Journal Issue/Number
- 5
- Journal Volume
- 16
- File Extent
- 31708-31708
- Editor
- Subject
- 最新修改
- 2019-12-06
- Identifier
- PubMed ID: 27223292
- Resource Type
- 权利声明
- DOI
- ISSN
- 1424-8220
- Language
关联
单件
缩略图 | 标题 | 上传日期 | 公开度 | 行动 |
---|---|---|---|---|
myblackboxBlackboxMobileCloudSystemsForPersonalizedUnusua.pdf | 2019-12-06 | 公开 | 下载 |