PhD - Kinesiology
MSc - Kinesiology
BKin (Honours) - Fitness & Lifestyle
Preferred method of communication
Research and teaching
Biomechanics & Injury Prevention
- Sport Biomechanics
- Wearable Technology
- Injury Prevention
Wearable technology has become one of the fastest growing fields in health and sport, being a top worldwide fitness trend for the past few years. However, more research is needed to make sense of wearable technology data to improve athletic performance and prevent injury. Dr. Christian Clermont, PhD, research studies incorporate wearable sensors for the collection of human biomechanics data in health and sport science disciplines.
Most recently, his doctoral work provided evidence for the effective use of wearable sensor data with pattern recognition methods to monitor typical and atypical running biomechanics in competitive and recreational athletes.
Clermont's main postdoctoral research project aims to use impact monitoring mouthguards to monitor head impacts in youth athletes and identify key biomechanical features that characterize sport-related concussion.
The Kinesiology research themes that best reflect Clermont's areas of study include:
- Movement science & musculoskeletal health
- Injury prevention, sport medicine & rehabilitation
Supervisor: Dr. Darren Stefanyshyn, PhD
Clermont, C.A., Pohl, A.J., & Ferber, R. (In Press, 2019). Fatigue-related changes in running gait patterns persist in the days following a marathon race. Journal of Sport Rehabilitation. Manuscript ID: JSR.2019-0206.
Clermont, C.A., Benson, L., Edwards, W.B., Hettinga, B.A., & Ferber, R. (In Press, 2019). New considerations for wearable technology data: Changes in running biomechanics during a marathon. Journal of Applied Biomechanics. doi: https://doi.org/10.1123/jab.2018-0453
Clermont, C.A., Duffett-Leger, L., Hettinga, B.A., & Ferber, R. (2020). Runners’ perspectives on ‘smart’ wearable technology and its use for preventing injury. International Journal of Human-Computer Interaction, 36(1), 31-40. doi: https://doi.org/10.1080/10447318.2019.1597575
Ahamed, N.U., Benson, L.C., Clermont, C.A., Pohl, A.J., & Ferber, R. (2019). New considerations for collecting biomechanical data using wearable sensors: How does inclination influence the number of runs needed to determine a stable running gait pattern? Sensors, 19, 2516. doi: http://dx.doi.org/10.3390/s19112516.
Clermont, C.A., Phinyomark, A., Osis, S.T., & Ferber, R. (2019). Classification of higher- and lower-mileage runners based on running kinematics. Journal of Sport and Health Science, 8(3), 249-257. doi: https://doi.org/10.1016/j.jshs.2017.08.003
Benson, L.C., Clermont, C.A., Watari, R., Exley, T., & Ferber, R. (2019). Automated accelerometer-based gait event detection during multiple running conditions. Sensors, 19(7), 1483. doi: https://doi.org/10.3390/s19071483
Ahamed, N.U., Kobsar, D., Benson, L., Clermont, C., Osis, S.T., & Ferber, R. (2019). Subject-specific and group-based running pattern classification using a single wearable sensor. Journal of Biomechanics, 84(14), 227-233. doi: https://doi.org/10.1016/j.jbiomech.2019.01.001
Clermont, C.A., Benson, L.C., Osis, S.T., Kobsar, D., & Ferber, R. (2019). Running patterns for male and female competitive and recreational runners based on accelerometer data. Journal of Sports Sciences, 37(2), 204-211. doi: https://doi.org/10.1080/02640414.2018.1488518
Ahamed, N., Kobsar, D., Benson, L., Clermont, C., Kohrs, R., Osis, S.T., & Ferber, R. (2018). Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions. PloS ONE, 13(9): e0203839. doi: https://doi.org/10.1371/journal.pone.0203839.
Benson, L.C., Clermont, C.A., Bošnjak, E., & Ferber, R. (2018). The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review. Gait & Posture, 63, 124-138. doi: https://doi.org/10.1016/j.gaitpost.2018.04.047
Benson, L.C., Clermont, C.A., Osis, S.T., Kobsar, D., & Ferber, R. (2018). Classifying running conditions using a single wearable sensor: Optimal segmentation and feature extraction methods. Journal of Biomechanics, 71(11), 94-99. doi: https://doi.org/10.1016/j.jbiomech.2018.01.034
Macaulay, C.A.J., Osis, S.T., Clermont, C., & Ferber, R. (2017). The use of real-time feedback to improve kinematic marker placement consistency among novice examiners. Gait & Posture, 58, 440-445. doi: http://dx.doi.org/10.1016/j.gaitpost.2017.08.040
Clermont, C.A., Osis, S., Phinyomark, A., & Ferber, R. (2017). Kinematic gait patterns in competitive and recreational runners. Journal of Applied Biomechanics 33(4), 268-276. doi: https://doi.org/10.1123/jab.2016-0218
Barden, J.M., Clermont, C.A., Kobsar, D., & Beauchet, O. (2016). Accelerometer-based step regularity is lower in older adults with bilateral knee osteoarthritis. Frontiers in Human Neuroscience, 10(625). doi: https://dx.doi.org/10.3389%2Ffnhum.2016.00625
Clermont, C.A. & Barden, J.M. (2016). Accelerometer-based determination of gait variability in older adults with knee osteoarthritis. Gait and Posture, 50, 126-130. doi: http://dx.doi.org/10.1016/j.gaitpost.2016.08.024.
2017 – Graduate Student Scholarship – Alberta Innovates: Technology Futures
2017 – Postgraduate Scholarship – Natural Sciences and Engineering Research Council of Canada (NSERC)
2017 – Queen Elizabeth II Graduate Scholarship – University of Calgary (Declined due to NSERC)
2015 – Kinesiology Dean’s Doctoral Studentship – University of Calgary
2015 – Faculty of Kinesiology & Health Studies Outstanding Graduate Student Award – University of Regina