Explores stochastic modeling of inertial sensors for optimal fusion with other devices, emphasizing precise sensor stochastics for improved navigation solutions.
Covers non-inertial reference frames, constraints, and continuous systems, including angular velocity, linear and rotational acceleration, and modeling of merry-go-rounds, ropes, and pulleys.
Explores inertial effects in microfluidic systems, emphasizing shear- and wall-induced forces on particles and their applications in filtering and cell trapping.
Explores wearable systems for gait kinematics analysis and modeling, including sensor calibrations, fusion algorithms, and orientation drift correction.
