Title :
Ambulatory estimation of 3D walking trajectory and knee joint angle using MARG Sensors
Author :
Sen Qiu ; Yu Yang ; Jijian Hou ; Ran Ji ; Huosheng Hu ; Zhelong Wang
Author_Institution :
Sch. of Control Sci. & Eng., Dalian Univ. of Technol., Dalian, China
Abstract :
This paper presents a MARG Sensors based walking motion analysis method that can be used for rehabilitation treatment evaluation under ambulatory conditions in daily lives. A commercial inertial measure unit MTx is fixed on human shank segment. Then digital data box worn on the waist transmits the raw data to laptop with Blue-tooth for post processing. Subjects are required to perform level walking and upstairs walking respectively. After the initial alignment and quaternion convergence, the proposed method fuses the inertial data using Kalman filter based on quaternion. Walking trajectory and knee joint angle are estimated and validated by available ground truth. Experiment results demonstrate that the proposed method has a good performance at both motion patterns. It also shows that no significant drifts exist in the overall results presented in the paper. The method can also be adapted to measure other sites of articulation such as ankle and elbow.
Keywords :
Bluetooth; Kalman filters; medical signal processing; patient rehabilitation; sensors; 3D walking trajectory; Bluetooth; Kalman filter; MARG sensors; ambulatory estimation; digital data box; human shank segment; inertial measure; knee joint angle; level walking; motion pattern; rehabilitation treatment evaluation; upstairs walking; walking motion analysis method; Accelerometers; Estimation; Gyroscopes; Kalman filters; Legged locomotion; Quaternions; Sensors; MARG system; Motion tracking; Rehabilitation; Walking evaluation; wearable sensors;
Conference_Titel :
Innovative Computing Technology (INTECH), 2014 Fourth International Conference on
Conference_Location :
Luton
DOI :
10.1109/INTECH.2014.6927742