Nicolas Gardan

Prof. Nicolas Gardan

Micado InumLab
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 October 2015 in Journal of Manufacturing Systems
Verified
Journal Article
Closed access
Nicolas GardanNicolas Gardan
Nicolas Gardan
ASAlexandre Schneider
Alexandre Schneider

1 July 2017 in Journal of Biomechanics
Verified
Journal Article
Closed access
Nicolas GardanNicolas Gardan
Nicolas Gardan
ASA. Schneider
A. Schneider
GPG. Polidori
G. Polidori
HTH. Trenchard
H. Trenchard
JSJ.M. Seigneur
J.M. Seigneur
Redha TaiarRedha Taiar
Redha Taiar

1 March 2008 in Computers in Industry
Verified
Journal Article
Closed access
FDFrédéric Danesi
Frédéric Danesi
Nicolas GardanNicolas Gardan
Nicolas Gardan
YGYvon Gardan
Yvon Gardan
MRMichael Reimeringer
Michael Reimeringer

1 November 2003 in Expert Systems with Applications
Verified
Journal Article
Closed access
Nicolas GardanNicolas Gardan
Nicolas Gardan
YGYvon Gardan
Yvon Gardan

26 February 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Noé PerrotinNoé Perrotin
Noé Perrotin
Nicolas GardanNicolas Gardan
Nicolas Gardan
ALArnaud Lesprillier
Arnaud Lesprillier
Clement Le GoffClement Le Goff
Clement Le Goff
JSJean-Marc Seigneur
Jean-Marc Seigneur
Redha TaiarRedha Taiar
Redha Taiar
The recent popularity of trail running and the use of portable sensors capable of measuring many performance results have led to the growth of new fields in sports science experimentation. Trail running is a challenging sport; it usually involves running uphill, which is physically demanding and therefore requires adaptation to the running style. The main objectives of this study were initially to use three “low-cost” sensors. These low-cost sensors can be acquired by most sports practitioners or trainers. In the second step, measurements were taken in ecological conditions orderly to expose the runners to a real trail course. Furthermore, to combine the collected data to analyze the most efficient running techniques according to the typology of the terrain were taken, as well on the whole trail circuit of less than 10 km. The three sensors used were (i) a Stryd sensor (Stryd Inc., Boulder, CO, USA) based on an inertial measurement unit (IMU), 6 axes (3-axis gyroscope, 3-axis accelerometer) fixed on the top of the runner’s shoe, (ii) a Global Positioning System (GPS) watch and (iii) a heart belt. Twenty-eight trail runners (25 men, 3 women: average age 36 ± 8 years; height: 175.4 ± 7.2 cm; weight: 68.7 ± 8.7 kg) of different levels completed in a single race over a 8.5 km course with 490 m of positive elevation gain. This was performed with different types of terrain uphill (UH), downhill (DH), and road sections (R) at their competitive race pace. On these sections of the course, cadence (SF), step length (SL), ground contact time (GCT), flight time (FT), vertical oscillation (VO), leg stiffness (Kleg), and power (P) were measured with the Stryd. Heart rate, speed, ascent, and descent speed were measured by the heart rate belt and the GPS watch. This study showed that on a ≤10 km trail course the criteria for obtaining a better time on the loop, determined in the test, was consistency in the effort. In a high percentage of climbs (>30%), two running techniques stand out: (i) maintaining a high SF and a short SL and (ii) decreasing the SF but increasing the SL. In addition, it has been shown that in steep (>28%) and technical descents, the average SF of the runners was higher. This happened when their SL was shorter in lower steep and technically challenging descents.

8 August 2018 in Computer-Aided Design and Applications
Verified
Journal Article
Closed access
BGBastien Ga
Bastien Ga
Nicolas GardanNicolas Gardan
Nicolas Gardan
GWGauthier Wahu
Gauthier Wahu
Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.