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Journal ArticleDOI

iPhone: Smarter Than the Average Phone

Roy Want
- 01 Jul 2010 - 
- Vol. 9, Iss: 3, pp 6-9
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TLDR
This column provides a synopsis of the iPhone and describes key features that have allowed it to redefine what it means to be a modern smart device, put in the context of pervasive computing.
Abstract
This column provides a synopsis of the iPhone and describes key features that have allowed it to redefine what it means to be a modern smart device. In particular, the description is put in the context of pervasive computing, and the author presents a review of his top five iPhone apps. These highlight how the App Store has allowed programmers to test and distribute many concepts originating from pervasive computing research.

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A review of wearable sensors and systems with application in rehabilitation.

TL;DR: In this paper, a review of wearable sensors and systems that are relevant to the field of rehabilitation is presented, focusing on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders.
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Recent Advances in Wearable Sensors for Health Monitoring

TL;DR: This paper discusses recent advances in wearable sensors and systems that monitor movement, physiology, and environment, with a focus on applications for Parkinson's disease, stroke, and head and neck injuries.
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Serious Games and Edutainment Applications

TL;DR: This book is suitable for both researchers and educators who are interested in using games for educational purposes, as well as game professionals requiring a thorough understanding of issues involved in the application of video games technology into educational settings.

A review of wearable sensors and systems with application in rehabilitation

TL;DR: Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders.
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Survey and analysis of current mobile learning applications and technologies

TL;DR: This article provides a critical analysis of m-learning projects and related literature and seeks to facilitate the inquiry into the following question: “What is possible in m- learning using recent technologies?”
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