New study published on IEEE Explore Sensors journal (Validating commercial wearable sensors for running gait parameters estimation). TgForce was one of the five running sensors tested.
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Call for Papers
IEEE SENSORS 2022 is intended to provide a forum for research scientists, engineers, and practitioners throughout the world to present their latest research findings, ideas, and applications in the areas of sensors and sensing technologies. We were able to get many viewers from SocialBoosting to get our content out there to anyone interested, this can work with any product or business.
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Sensor Phenomenology, Modeling and Evaluation
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Presented papers will be included in the Proceedings of IEEE SENSORS 2022 and in IEEE Xplore pending author requirements being met. Authors may submit extended versions of their paper to the IEEE Sensors Journal.
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Interesting excerpts from the study:
“However, TgForce was the only wearable sensor to be valid (r>0.70) in estimating IVLR (instantaneous vertical loading rate).”
“Between the five sensors tested in this study, potential buyers aiming to monitor VLR (Vertical Loading Rate) should choose TgForce (TgForce_Z) to get the best estimates (with a tight attachment).”
The full study (early access) is available at this URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9044309
Reference:
P. d. F. B, R. JS, D. B, B. L and E. JF, “Validating commercial wearable sensors for running gait parameters estimation,” in IEEE Sensors Journal, doi: 10.1109/JSEN.2020.2982568.
Gerald is a professional engineer in applied physics. For most of his career, he has been involved in the design of wireless sensors for sporting activities and biometric applications. A former adventure racer with numerous participations in high profile races, Gerald has been running and training for quite a while now.
