Abstract
This paper presents initial findings that are a stepping stone to creating a sensor suite that monitors human posture with limited inertial measurement units. The focus is on using two inertial measurement units, one on each lower leg, to try to recreate the posture of the lower body. We compare a complementary filter and a biologically inspired filter for defining leg angle. Our results show that lower leg stance and hip position can be calculated through the use of both filters, with the complementary filter offering a less computationally intensive result while also being more accurate at tracking.
Supported by Portland State University.
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Morrow, C., Stecher, R., Hunt, A. (2019). Using Two IMU Sensors to Simulate Lower Body Stance. In: Martinez-Hernandez, U., et al. Biomimetic and Biohybrid Systems. Living Machines 2019. Lecture Notes in Computer Science(), vol 11556. Springer, Cham. https://doi.org/10.1007/978-3-030-24741-6_33
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DOI: https://doi.org/10.1007/978-3-030-24741-6_33
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