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Journal ArticleDOI

Mobile Phone Sensing Systems: A Survey

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TLDR
This paper has described comprehensively all those systems which are using smart phones and mobile phone sensors for humans good will and better human phone interaction.
Abstract
Mobile phone sensing is an emerging area of interest for researchers as smart phones are becoming the core communication device in people's everyday lives. Sensor enabled mobile phones or smart phones are hovering to be at the center of a next revolution in social networks, green applications, global environmental monitoring, personal and community healthcare, sensor augmented gaming, virtual reality and smart transportation systems. More and more organizations and people are discovering how mobile phones can be used for social impact, including how to use mobile technology for environmental protection, sensing, and to leverage just-in-time information to make our movements and actions more environmentally friendly. In this paper we have described comprehensively all those systems which are using smart phones and mobile phone sensors for humans good will and better human phone interaction.

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Citations
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Journal ArticleDOI

A survey on wireless body area networks

TL;DR: This paper offers a survey of the concept of Wireless Body Area Networks, focusing on some applications with special interest in patient monitoring and the communication in a WBAN and its positioning between the different technologies.
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Internet of Things: Architectures, Protocols, and Applications

TL;DR: This survey paper proposes a novel taxonomy for IoT technologies, highlights some of the most important technologies, and profiles some applications that have the potential to make a striking difference in human life, especially for the differently abled and the elderly.
Journal ArticleDOI

A Survey on Wireless Body Area Networks: Technologies and Design Challenges

TL;DR: An overview of WBAN main applications, technologies and standards, issues in WBANs design, and evolutions is reported, with the aim of providing useful insights for WBAN designers and of highlighting the main issues affecting the performance of these kind of networks.
Journal ArticleDOI

A survey of online activity recognition using mobile phones

TL;DR: This paper reviews the studies done so far that implement activity recognition systems on mobile phones and use only their on-board sensors, and discusses their limitations and present various recommendations for future research.
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Incentives for Mobile Crowd Sensing: A Survey

TL;DR: Diverse strategies that are proposed in the literature to provide incentives for stimulating users to participate in mobile crowd sensing applications are surveyed and divided into three categories: entertainment, service, and money.
References
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Journal ArticleDOI

Activity recognition using cell phone accelerometers

TL;DR: This work describes and evaluates a system that uses phone-based accelerometers to perform activity recognition, a task which involves identifying the physical activity a user is performing, and has a wide range of applications, including automatic customization of the mobile device's behavior based upon a user's activity.
Proceedings ArticleDOI

Nericell: rich monitoring of road and traffic conditions using mobile smartphones

TL;DR: Nericell is presented, a system that performs rich sensing by piggybacking on smartphones that users carry with them in normal course, and addresses several challenges including virtually reorienting the accelerometer on a phone that is at an arbitrary orientation, and performing honk detection and localization in an energy efficient manner.
Proceedings ArticleDOI

Activity sensing in the wild: a field trial of ubifit garden

TL;DR: This work has developed a system, UbiFit Garden, which uses on-body sensing and activity inference and a personal, mobile display to encourage physical activity to address the growing rate of sedentary lifestyles.
Proceedings ArticleDOI

VTrack: accurate, energy-aware road traffic delay estimation using mobile phones

TL;DR: It is shown that VTrack can tolerate significant noise and outages in these location estimates, and still successfully identify delay-prone segments, and provide accurate enough delays for delay-aware routing algorithms.
Proceedings ArticleDOI

Ear-phone: an end-to-end participatory urban noise mapping system

TL;DR: Ear-Phone, for the first time, leverages Compressive Sensing to address the fundamental problem of recovering the noise map from incomplete and random samples obtained by crowdsourcing data collection.
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