Abstract
In this paper a real time gait phase detection approach is proposed to specify the gait phases of one leg using information of contralateral leg. This idea is based on the existing time coordination between gait events of one leg and contralateral leg during normal walking. The gait phase detection algorithm has been developed using a fuzzy logic system (FLS). The FLS input data were acquired from one foot using insole embedded force-sensing resistors (FSR) during walking. The FLS goal was to specify the corresponding gait phases of the contralateral leg during the gait cycle. Three healthy volunteers and one unilateral drop foot patient participated in the experiments. Promising results were obtained from the FLS. The presented approach can be used in gait correction applications in unilateral drop foot patients.KeywordsGait CycleFunctional Electrical StimulationFuzzy Logic SystemLoad ResponseGait PhaseThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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