Titlebook: Internet of Things (IoT) Technologies for HealthCare; 4th International Co Mobyen Uddin Ahmed,Shahina Begum,Jean-Baptiste Fas Conference pr

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1867-8211 hyIoT 2017, held in Angers, France, in October 2017. The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. The 17 revised full papers presented were carefully reviewed a

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Deep Learning Based Person Identification Using Facial Imagesy to implement and a research hotspot in the field of pattern recognition and machine vision. In this paper, a deep learning based Person identification system is proposed using facial images which shows higher accuracy than another traditional machine learning, i.e. Support Vector Machine.

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Non-invasive Analytics Based Smart System for Diabetes Monitoringe, walking patterns and weight gain/loss. The devices with the aid of controllers send all the sensor values as a packet via Bluetooth to the Mobile App. With the help of Machine Learning algorithm, we have predicted the change in patient status and alert them.

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A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological GaiteuroSENS”) to improve patient-clinician interaction and to promote the prolonged monitoring of neurological gait by the patients themselves. A particular attention was paid to the security and privacy issues in patient’s data transfer, that are assured at three levels in an in-depth defense strategy

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How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication?f atherosclerosis. Recently, smartphones and their sensors have been proposed in the context of mobile health to monitor gait. However, their use remains disputed: objections concern the quality of the collected data. Therefore, the work presented in this paper proposes to study three main sources o

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