JOURNAL ARTICLE

A survey of mobile phone sensing

Nicholas D. LaneEmiliano MiluzzoHong LuDaniel PeeblesTanzeem ChoudhuryAndrew T. Campbell

Year: 2010 Journal:   IEEE Communications Magazine Vol: 48 (9)Pages: 140-150   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Mobile phones or smartphones are rapidly becoming the central computer and communication device in people's lives. Application delivery channels such as the Apple AppStore are transforming mobile phones into App Phones, capable of downloading a myriad of applications in an instant. Importantly, today's smartphones are programmable and come with a growing set of cheap powerful embedded sensors, such as an accelerometer, digital compass, gyroscope, GPS, microphone, and camera, which are enabling the emergence of personal, group, and communityscale sensing applications. We believe that sensor-equipped mobile phones will revolutionize many sectors of our economy, including business, healthcare, social networks, environmental monitoring, and transportation. In this article we survey existing mobile phone sensing algorithms, applications, and systems. We discuss the emerging sensing paradigms, and formulate an architectural framework for discussing a number of the open issues and challenges emerging in the new area of mobile phone sensing research.

Keywords:
Computer science Compass Global Positioning System Gyroscope Mobile phone Accelerometer Upload Phone Participatory sensing Mobile device Mobile computing Mobile technology Telecommunications Mobile phone tracking Multimedia Mobile Web World Wide Web Data science Engineering

Metrics

2270
Cited By
385.14
FWCI (Field Weighted Citation Impact)
33
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mobile Crowdsensing and Crowdsourcing
Physical Sciences →  Computer Science →  Computer Science Applications
Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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