GAIT IDENTIFICATION AND RECOGNITION SENSOR

One of the major obstacles in developing reliable walking neural prostheses is poor performance of the sensors which are used for gait phases identification. Improper functioning of these sensors causes wrong stimulation pattern selection and wrong stimulation sequencing of the walking neural prostheses. These malfunctions often cause unstable walking patterns in patients that are using the prostheses. Sensors that are commonly used for gait phase identification are: foot switches, force sensitive resistors (FSRs), accelerometers, pendulum resistors and goniometers. Since none of these sensors is capable of identifying gait phases with accuracy greater than 95 %, a decision was made to develop more reliable gait identification sensor.

[1]  Tracie L. Lawrence,et al.  WIRELESS IN-SHOE FORCE SYSTEM , 1997 .

[2]  Howard Jay Chizeck,et al.  Real time gait event detection during FES paraplegic walking , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[3]  D.B. Popovic,et al.  Machine learning in control of functional electrical stimulation systems for locomotion , 1995, IEEE Transactions on Biomedical Engineering.

[4]  Dejan B. Popovic,et al.  Improved Methods for Control of FES for Locomotion , 1994 .