Page Not Found
Page not found. Your pixels are in another canvas.
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Page not found. Your pixels are in another canvas.
This is a page not in th emain menu
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml
and set future: false
.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in PLoS One, 2016
For diagnosis and follow up, it is important to be able to quantify limp in an objective, and precise way adapted to daily clinical consultation. The purpose of this exploratory study was to determine if an inertial sensor-based method could provide simple features that correlate with the severity of lower limb osteoarthritis evaluated by the WOMAC index without the use of step detection in the signal processing.
Recommended citation: Barrois-Müller, R., Gregory, T., Oudre, L., Moreau, T., Truong, C., Aram Pulini, A., Vienne, A., Labourdette, C., Vayatis, N., Buffat, S., Yelnik, A., de Waele, C., Laporte, S., Vidal, P.-P., & Ricard, D. (2016). An automated recording method in clinical consultation to rate the limp in lower limb osteoarthritis. PLoS One, 11(10), e0164975.
Published in Ecole Normale Supérieure Paris-Saclay, 2018
This work addresses the problem of detecting multiple change points in (univariate or multivariate) physiological signals.
Recommended citation: Truong, C. (2018). Multiple change point detection - application to physiological signals. Université Paris-Saclay.
Published in Sensors, 2018
This article presents a method for step detection from accelerometer and gyrometer signals recorded with Inertial Measurement Units (IMUs). The principle of our step detection algorithm is to recognize the start and end times of the steps in the signal thanks to a predefined library of templates.
Recommended citation: Oudre, L., Barrois-Müller, R., Moreau, T., Truong, C., Vienne-Jumeau, A., Ricard, D., Vayatis, N., & Vidal, P.-P. (2018). Template-based step detection with inertial measurement units. Sensors, 18(11).
Published in Image Processing On Line (IPOL), 2019
This article thoroughly describes a data set of 1020 multivariate gait signals collected with two inertial measurement units, from 230 subjects undergoing a fixed protocol.
Recommended citation: Truong, C., Barrois-Müller, R., Moreau, T., Provost, C., Vienne-Jumeau, A., Moreau, A., Vidal, P.-P., Vayatis, N., Buffat, S., Yelnik, A., Ricard, D., & Oudre, L. (2019). A data set for the study of human locomotion with inertial measurements units. Image Processing On Line (IPOL), 9.
Published in IEEE Transactions on Signal Processing, 2019
A novel non-parametric and model-free off-line change-point detection method based on a kernel mapping is presented.
Recommended citation: Truong, C., Oudre, L., & Vayatis, N. (2019). Greedy kernel change-point detection. IEEE Transactions on Signal Processing, 67(24).
Published in Signal Processing, 2020
This article presents a selective survey of algorithms for the offline detection of multiple change points in multivariate time series.
Recommended citation: Truong, C., Oudre, L., & Vayatis, N. (2020). Selective review of offline change point detection methods. Signal Processing, 167.
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.