JOURNAL ARTICLE

A survey of people-centric sensing studies utilizing mobile phone sensors

Levent Bayındır

Year: 2017 Journal:   Journal of Ambient Intelligence and Smart Environments Vol: 9 (4)Pages: 421-448   Publisher: IOS Press

Abstract

Today's ubiquitous presence of sensors provides a large amount of data which can be analyzed to study human behavior. The last few years saw the birth and diffusion of a new class of sensing systems: smartphones. With a diverse range of embedded sens

Keywords:
Computer science Mobile phone Phone Human–computer interaction Multimedia Telecommunications

Metrics

15
Cited By
3.77
FWCI (Field Weighted Citation Impact)
147
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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