A least-squares identification algorithm for estimating squat exercise mechanics using a single inertial measurement unit

摘要: This study investigated the possibility of estimating lower-limb joint kinematics during a squat exercise performed in sagittal plane based on data collected from single inertial measurement unit located lower trunk. The human body was modeled as three-degrees-of-freedom planar chain and relevant angles (ankle, knee, hip) are represented by Fourier series. A least-squares approach minimization difference between measured estimated linear accelerations angular velocity trunk used to solve related analytical problem. validated ten healthy young volunteers (ten trials each) using force plate stereophotogrammetric system collect reference data. root mean square differences those reconstructed with were than 4° correlation coefficients higher 0.99. ankle resultant vertical component an accuracy about 3% high coefficient r=0.95, whereas much percentage accuracies found for horizontal couple components. latter similar affecting these components through inverse dynamics conjunction same mechanical model, which suggests that only minor errors introduced proposed algorithm tools.