Title :
Lower limb motion tracking using IMU sensor network
Author :
Hamdi, Mohammed M. ; Awad, Mohammed I. ; Abdelhameed, Magdy M. ; Tolbah, Farid A.
Author_Institution :
Mechatron. Dept., Ain Shams Univ., Cairo, Egypt
Abstract :
A motion capture system was constructed with 7- Inertial Measurement Units (IMU) covering the lower limb segments, with a wireless connection to a PC for data logging. IMU units were used to measure the lower limb segment´s angular velocity and linear acceleration as direct biomechanical variables. Meanwhile, Lower Limb joints and segments inclination, in the sagittal plane, were calculated indirectly, using IMUs´ direct outputs. The outputs undergo several signal conditioning phases to remove noises and bias. Furthermore, misalignment effect on the raw data is removed by an on-body calibration of the sensors. Finally, for activity recognition purposes, T-test is used to prove that capturing motion along only one side of the lower limb is sufficient, due to redundancy in the corresponding features of the biomechanical signals (variables) of each leg.
Keywords :
acceleration measurement; biomedical equipment; calibration; gait analysis; statistical testing; velocity measurement; wireless sensor networks; IMU sensor network; IMU units; PC; T-test; activity recognition; biomechanical signals; data logging; inertial measurement units; linear acceleration measurement; lower limb joints; lower limb motion tracking; lower limb segment angular velocity measurement; motion capture system; on-body calibration; sagittal plane; signal conditioning phases; wireless connection; Biomechanics; Calibration; Microprocessors; Receivers; Resistors; Transmitters; IMU Sensor Network; Lower Limb Gait Analysis;
Conference_Titel :
Biomedical Engineering Conference (CIBEC), 2014 Cairo International
Conference_Location :
Giza
Print_ISBN :
978-1-4799-4413-2
DOI :
10.1109/CIBEC.2014.7020957