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Google Glass

Publications associées (9)

Real-time Personalized Monitoring of Neurological Disorders on Wearable Systems

The terminology of neurological disorders encompasses a range of serious illnesses (e.g., epilepsy, Alzheimer's disease) leading to morbidity, disability, and stigma. Epilepsy alone affects over 50 million people worldwide, and these figures are rising as ...

EPFL2023

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale

Hyperdimensional computing is a promising novel paradigm for low-power embedded machine learning. It has been applied on different biomedical applications, and particularly on epileptic seizure detection. Unfortunately, due to differences in data preparati ...

2021

Sensitivity, Noise and Resolution in a B -Modified Foundry-Made ISFET with Miniaturized Reference Electrode for Wearable Point-of-Care Applications

Mihai Adrian Ionescu, Junrui Zhang, Francesco Bellando, Pierpaolo Palestri, Luca Selmi

Ion-sensitive field-effect transistors (ISFETs) form a high sensitivity and scalable class of sensors, compatible with advanced complementary metal-oxide semiconductor (CMOS) processes. Despite many previous demonstrations about their merits as low-power ...

2021

Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

Hervé Bourlard, Afsaneh Asaei, Pranay Dighe

Towards the goal of improving acoustic modeling for automatic speech recognition (ASR), this work investigates the modeling of senone subspaces in deep neural network (DNN) posteriors using low-rank and sparse modeling approaches. While DNN posteriors are ...

ELSEVIER SCIENCE BV2019

Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups

Pierre Dillenbourg, Kshitij Sharma, Guillaume Zufferey, Sébastien Cuendet, Bertrand Roland Schneider

This paper describes a promising methodology for studying co-located groups: mobile eye-trackers. We provide a comprehensive description of our data collection and analysis processes so that other researchers can take advantage of this cutting-edge technol ...

SPRINGER2018

Google Glass-Directed Monitoring and Control of Microfluidic Biosensors and Actuators

Sandro Carrara, Irene Taurino, Danilo Demarchi

Google Glass is a recently designed wearable device capable of displaying information in a smartphone-like hands-free format by wireless communication. The Glass also provides convenient control over remote devices, primarily enabled by voice recognition c ...

Nature Publishing Group2016

High precision trajectory and speed sensor and measuring method

Kamiar Aminian, Benedikt Fasel

A method for contactlessly determining an exact passage of an athlete at points placed along a track in sports, wherein the method comprises gearing the athlete with a wearable magnetometer sensor unit, whereby the magnetometer sensor unit is equipped with ...

2016

Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals

Dario Floreano, Claudio Mattiussi, Walter Karlen

Actigraphy for long-term sleep/wake monitoring fails to correctly classify situations where the subject displays low activity, but is awake. In this paper we propose a new algorithm which uses both accelerometer and cardio-respiratory signals to overcome t ...

2008

The COVEN project: exploring applicative, technical, and usage dimensions of collaborative virtual environments

Daniel Thalmann

COVEN (Collaborative Virtual Environments) is a European project that seeks to develop a comprehensive approach to the issues in the development of collaborative virtual environment (CVE) technology. COVEN brings together twelve academic and industrial par ...

MIT Press1999

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