Publication

Stair climbing detection during daily physical activity using a miniature gyroscope

Publications associées (30)

Wavelet analysis of the Besov regularity of Levy white noise

Julien René Pierre Fageot, Shayan Aziznejad

We characterize the local smoothness and the asymptotic growth rate of the Levy white noise. We do so by characterizing the weighted Besov spaces in which it is located. We extend known results in two ways. First, we obtain new bounds for the local smoothn ...

2020

Gait in real world: validated algorithms for gait periods and speed estimation using a single wearable sensor

Abolfazl Soltani

Mobility concerns most daily tasks (e.g., householding, shopping), affecting life quality. Gait speed, recognized as the sixth vital sign, is a key to characterize mobility. It is also a primary outcome of many clinical interventions. Monitoring gait in un ...

EPFL2020

Sensor system

Simon Nessim Henein, Charles Baur, Thomas Jean Julien Fussinger, Hubert Pierre-Marie Benoît Schneegans, Lisa Anaïs Jeanne Bonnefoy

Sensor system (1) comprising a frame (306) supporting a force-sensing tip (310) arranged to generate a signal based upon a force applied by said force-sensing tip (310) to a material to be tested,characterised in that said system (1) further comprises:- an ...

2020

Wearable multifunctional sweat-sensing system for efficient healthcare monitoring

Giovanni De Micheli, Sandro Carrara, Irene Taurino, Nicolò Oliva, Mandresy Ivan Ny Hanitra, Francesca Criscuolo, Simone Aiassa

Despite the huge expansion in recent years of sweat sensing and wearable technologies, several challenges are still open, including poor sample collection, separate sampling and analysis, low multi-sensing capabilities and materials toxicity. In this work, ...

2020

Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy

Anisoara Ionescu, Lena Carcreff, Stéphane Armand

The current lack of adapted performance metrics leads clinicians to focus on what children with cerebral palsy (CP) do in a clinical setting, despite the ongoing debate on whether capacity (what they do at best) adequately reflects performance (what they d ...

2020

The n-term Approximation of Periodic Generalized Levy Processes

Michaël Unser, John Paul Ward, Julien René Pierre Fageot

In this paper, we study the compressibility of random processes and fields, called generalized Levy processes, that are solutions of stochastic differential equations driven by d-dimensional periodic Levy white noises. Our results are based on the estimati ...

2020

Local Vulnerabilities and Global Robustness of Coupled Dynamical Systems on Complex Networks

Melvyn Sandy Tyloo

Coupled dynamical systems are omnipresent in everyday life. In general, interactions between individual elements composing the system are captured by complex networks. The latter greatly impact the way coupled systems are functioning and evolving in time. ...

EPFL2020

PREC 2019: Personal Robots for Exercising and Coaching

Ayberk Özgür, Arzu Güneysu Özgür

Exercising is strongly recommended for prevention and treatment of pathologies with high prevalence such as cardiovascular diseases, cancer, and diabetes. The World Health Organization (WHO) states that insufficient physical activity is one of the leading ...

IEEE2019

Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series

Fabian Guignard, Dasaraden Mauree

High frequency wind time series measured at different heights from the ground (from 1.5 to 25.5 meters) in an urban area were investigated by using the variance of the coefficients of their wavelet transform. Two ranges of scales were identified, sensitive ...

2019

A comparative study on wavelets and residuals in deep super resolution

Sabine Süsstrunk, Ruofan Zhou, Fayez Lahoud, Majed El Helou

Despite the advances in single-image super resolution using deep convolutional networks, the main problem remains unsolved: recovering fine texture details. Recent works in super resolution aim at modifying the training of neural networks to enable the rec ...

2019