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Eric Campo

Researcher at Laboratory for Analysis and Architecture of Systems

Publications -  12
Citations -  1803

Eric Campo is an academic researcher from Laboratory for Analysis and Architecture of Systems. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 5, co-authored 7 publications receiving 1573 citations. Previous affiliations of Eric Campo include University of Toulouse.

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A review of smart homes-Present state and future challenges

TL;DR: This article presents an international selection of leading smart home projects, as well as the associated technologies of wearable/implantable monitoring systems and assistive robotics, often designed as components of the larger smart home environment.
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Smart wearable systems: Current status and future challenges

TL;DR: The current research in wearable is examined to serve as references for researchers and provide perspectives for future research, focusing on multi-parameter physiological sensor systems and activity and mobility measurement system designs that reliably measure mobility or vital signs and integrate real-time decision support processing for disease prevention, symptom detection, and diagnosis.
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Complete analytical modeling and analysis of micromachined thermoelectric uncooled IR sensors

TL;DR: In this article, the authors deal with a complete analytical modeling and analysis of thermoelectric uncooled infrared sensors compatible with CMOS technology, which is based on dividing the sensor into three zones, each one being the subject of a thorough thermal study (conduction, convection and radiation thermal effect).
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A Smart Insole to Promote Healthy Aging for Frail Elderly Individuals: Specifications, Design, and Preliminary Results

TL;DR: The smart insole is a noninvasive wireless insole, which automatically measures gait parameters and transmits information to a remote terminal via a secure Internet connection, which transforms mechanical energy produced by the user’s walking movement into electrical energy.
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Ambient Intelligence for Monitoring Alzheimer Patients

TL;DR: A multisensor system which allows monitoring elderly people in hospital environment which is composed of motion infrared sensors installed in the ceiling, presence sensor in bed and ZigBee tags embedded on the person is presented.