ARCAYA JORDAN , Alexis

A growing number of physical objects are being connected to the Internet at an unprecedented rate realizing the idea of the Internet of Things (IoT). Wearables are a class of IoT devices worn on the body that can detect and process physiological signals. A wearable can then give bio-feedback to the wearer or send information to the cloud for...

encadré par François Verdier

Wearable devices running sensor-based applications for human health, wellness and safety monitoring are increasinglyuseful, looking for early diagnoses of pathologies as well as for detection of risks. The Ellcie-Healthy start-up is developing smart connected glasses, a wearable device designed for e-Health and road safety applications. The...

Embedded detection systems presented in the form of wearable devices become very useful in the healthcare area.However, such devices have strong limitations in terms of size,energy and computational resources, and must be thereforecarefully designed. In this paper we propose to take into account the QoS during the power consumption study, so...

Road safety applications based on embedded systems are becoming increasingly reliable for the assistance of vehicle drivers. Cars start to be equipped with applications such as the detection of falling asleep at the wheel. The Ellcie-Healthy start-up is developing smart connected glasses, a wearable device designed for e-Health and driver...

Driver drowsiness is one of the major causes of accidents and fatal road crashes, causing a high human andeconomic cost. Recently, automatic drowsiness detection has begun to be recognized as a promising solution, receiving growing attention from industry and academics. In this letter, we propose to embed a convolutional neural network...

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