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Pre-Impact Detection Algorithm to Identify Tripping Events Using Wearable Sensors

Publications associées (54)

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Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices

David Atienza Alonso, Amir Aminifar, Adriana Arza Valdes, Fabio Isidoro Tiberio Dell'Agnola, Victoriano Montesinos Canovas

Monitoring stress and, in general, emotions has attracted a lot of attention over the past few decades. Stress monitoring has many applications, including high-risk missions and surgical procedures as well as mental/emotional health monitoring. In this pap ...

IEEE2019

Multi-functional soft strain sensors for wearable physiological monitoring

Josephine Anna Eleanor Hughes

Wearable devices which monitor physiological measurements are of significant research interest for a wide number of applications including medicine, entertainment, and wellness monitoring. However, many wearable sensing systems are highly rigid and thus re ...

MDPI AG2018

Running economy, known as the steady-state oxygen consumption at a given submaximal intensity, has been proposed as one of the key factors differentiating East African runners from other running communities around the world. Kenyan runners have dominated m ...

LIPPINCOTT WILLIAMS & WILKINS2018

See-through ophthalmoscope for retinal imaging

Christophe Moser, Dino Carpentras

With the miniaturization of scanning mirrors and the emergence of wearable health monitoring, an intriguing step is to investigate the potential of a laser scanning ophthalmoscope (LSO) for retinal imaging with wearable glasses. In addition to providing mo ...

Spie-Soc Photo-Optical Instrumentation Engineers2017

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"Teaching analytics" is the application of learning analytics techniques to understand teaching and learning processes, and eventually enable supportive interventions. However, in the case of (often, half-improvised) teaching in face-to-face classrooms, su ...

Assoc Computing Machinery2016

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Stress can impact many aspects of our lives, such as the way we interact and work with others, or the first impressions that we make. In the past, stress has most commonly been assessed through selfreported questionnaires; however, advancements in wearable ...

Assoc Computing Machinery2016

Daily activity reflects the health status of an individual. Ageing and disease drastically affect all dimensions of mobility, from the number of active bouts to their duration and intensity. Performing less activity leads to muscle deterioration and furthe ...

EPFL2016

Paradigm-Shifting Players for IoT: Smart-Watches for Intensive Care Monitoring

Giovanni De Micheli, Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Eleonora Lavalle

Wearable devices, e.g. smart-watches, are gaining popularity in many fields and in wellness monitoring too. In this paper we propose an IoT application to alert the medical doctor assigned to a critical unit by using a smart-watch. The wearable device impr ...

2016

An energy-aware method for the joint recognition of activities and gestures using wearable sensors

Karl Aberer, Julien Eberle, Dipanjan Chakraborty

This paper presents an energy-aware method for recognizing time series acceleration data containing both activities and gestures using a wearable device coupled with a smartphone. In our method, we use a small wearable device to collect accelerometer data ...

ACM2015

Robust Wearable UHF Antennas for Security Applications

Jovanche Trajkovikj

Wearable electronics are occupying an increasing portion of our daily activities. The span of wearable applications extends from purely medical, over different security services to various sports and fashion devices. Antennas play one of the most important ...

EPFL2015