Articles with public access mandates - Nizam U. AhamedLearn more
Available somewhere: 6
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions
NU Ahamed, D Kobsar, L Benson, C Clermont, R Kohrs, ST Osis, ...
PLoS One 13 (9), e0203839, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
Subject-specific and group-based running pattern classification using a single wearable sensor
NU Ahamed, D Kobsar, LC Benson, CA Clermont, ST Osis, R Ferber
Journal of biomechanics 84, 227-233, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
New considerations for collecting biomechanical data using wearable sensors: Number of level runs to define a stable running pattern with a single IMU
LC Benson, NU Ahamed, D Kobsar, R Ferber
Journal of biomechanics 85, 187-192, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
Fuzzy inference system-based recognition of slow, medium and fast running conditions using a triaxial accelerometer
NU Ahamed, L Benson, C Clermont, ST Osis, R Ferber
Procedia computer science 114, 401-407, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada
Using machine learning and wearable inertial sensor data for the classification of fractal gait patterns in women and men during load carriage
NU Ahamed, KT Krajewski, CC Johnson, AJ Sterczala, JP Greeves, ...
Procedia Computer Science 185, 282-291, 2021
Mandates: US Department of Defense
Using wavelet-based fractal analysis of inertial measurement unit signals to examine gait data from men and women during a load carriage task
NU Ahamed, KT Krajewski, CC Johnson, AJ Sterczala, JP Greeves, ...
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020
Mandates: US Department of Defense
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