| Summary: | 碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 99 === Under that prevention being better than treatment is the highest and invariably healthy ruler, the gait analysis will be one of the major study topics since un-stable gait is to disclose one early symptom. In this study, we first propose that the pressure sensor device is employed and then embedded into the shoe-pad and the 3D accelerometer is built and plastered on the knee part such that our construction system is lower cost with the non-vision base for detecting and monitoring the un-stable gait. Integrated with the ZigBee wireless sensor network, we can implement the portable gait device, which can detect the body''s standing and walking gait information, the sole of the foot pressure distribution, and the crooked degree of the knee joint, for a long time. In our controller, the step-length, step-speed, and step-distance can be calculated out, and then they can employed to obviously distinguish the 7 steps of one completed gait by our designed fuzzy mechanism. This detected information can be compared with the standard gait parameters in literal; the analyzed gait parameters can early disclose ones un-stable gait information. Moreover, compared with Zebris FDM-S, the sole of the foot pressure distribution of our design is about within 3% error rate. Finally, during the gait swing period, our system can detect the one’s crooked degree of knee joint such that it can be used to analyze and then judge whether the crooked degree information is the normal range or not. Therefore, the practicability of our approach can be proved by above 3 descriptions.
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