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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Lebel, K., Duval, C., Nguyen, H. P., Plamondon, R., & Boissy, P. (2018). Cranio-caudal kinematic turn signature assessed with inertial systems as a marker of mobility deficits in Parkinson's disease. Frontiers in Neurology, 9. Available
Lebel, K., Nguyen, H., Duval, C., Plamondon, R., & Boissy, P. (2017). Capturing the Cranio-Caudal Signature of a Turn with Inertial Measurement Systems: Methods, Parameters Robustness and Reliability. Frontiers in Bioengineering and Biotechnology, 5. Available
Nadeau, A., Lebel, K., Carbo, J., Boré, A., Lungu, O., Doyon, J., Nguyen, H., Duval, C., Boissy, P., Vincent, N., Kapoula, Z., & Plamondon, R. (2018, May). Exploiting the lognormality principle: Three ongoing projects [Paper]. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018), Montréal, Québec. Unavailable
Lebel, K., Duval, C., Plamondon, R., Faci, N., & Boissy, P. (2021). Sigma-Lognormal Modelling to Assess Mobility Deficits: The Case of Turn Signature Assessed with Inertial Measurement Units (IMUs). In The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health (Vol. 88, pp. 177-193). External link
