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Journal ArticleDOI

The Rise of People-Centric Sensing

TLDR
In the MetroSense Project's vision of people-centric sensing, users are the key architectural system component, enabling a host of new application areas such as personal, public, and social sensing.
Abstract: 
Technological advances in sensing, computation, storage, and communications will turn the near-ubiquitous mobile phone into a global mobile sensing device. People-centric sensing will help drive this trend by enabling a different way to sense, learn, visualize, and share information about ourselves, friends, communities, the way we live, and the world we live in. It juxtaposes the traditional view of mesh sensor networks with one in which people, carrying mobile devices, enable opportunistic sensing coverage. In the MetroSense Project's vision of people-centric sensing, users are the key architectural system component, enabling a host of new application areas such as personal, public, and social sensing.

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Proceedings ArticleDOI

Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application

TL;DR: The CenceMe application is presented, which represents the first system that combines the inference of the presence of individuals using off-the-shelf, sensor-enabled mobile phones with sharing of this information through social networking applications such as Facebook and MySpace.
Journal ArticleDOI

Internet of Things and Big Data Analytics for Smart and Connected Communities

TL;DR: It is argued that Internet of Things (IoT) has the potential to provide a ubiquitous network of connected devices and smart sensors for SCC, and big data analytics has the Potential to enable the move from IoT to real-time control desired for S CC.
Journal ArticleDOI

Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications

TL;DR: A new field known as wireless body area networks (WBAN or simply BAN) has emerged to address the growing use of sensor technology in healthcare applications and security and privacy concerns are discussed.
Journal ArticleDOI

Social Sensing: A New Approach to Understanding Our Socioeconomic Environments

TL;DR: In this article, the authors use the term social sensing for individual-level big geospatial data and the associat- tation of the data to understand the socioeconomic environments.
References
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Proceedings ArticleDOI

CarTel: a distributed mobile sensor computing system

TL;DR: CarTel has been deployed on six cars, running on a small scale in Boston and Seattle for over a year, and has been used to analyze commute times, analyze metropolitan Wi-Fi deployments, and for automotive diagnostics.
Journal Article

A practical approach to recognizing physical activities

TL;DR: In this paper, a personal activity recognition system based on a cell phone platform augmented with a Bluetooth-connected sensor board is proposed to recognize 8 different activities collected from 12 different subjects.
Proceedings ArticleDOI

People-centric urban sensing

TL;DR: This paper proposes MetroSense, a new people-centric paradigm for urban sensing at the edge of the Internet, at very large scale which is based fundamentally on three design principles: network symbiosis, asymmetric design, and localized interaction.
Proceedings ArticleDOI

The BikeNet mobile sensing system for cyclist experience mapping

TL;DR: A description and prototype implementation of the system architecture, an evaluation of sensing and inference that quantifies cyclist performance and the cyclist environment; a report on networking performance in an environment characterized by bicycle mobility and human unpredictability; and a description of BikeNet system user interfaces are presented.
Journal ArticleDOI

SenseWeb: An Infrastructure for Shared Sensing

TL;DR: The SenseWeb allows applications to initiate and access sensor data streams from shared sensors across the entire Internet and helps ensure optimal sensor selection for each application and efficient sharing of sensor streams among multiple applications.
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