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Gate Data Gathering in WiFi-embedded Smart Shoes with Gyro and Acceleration Sensor

  • Jeong, KiMin (Dept. of Control & Instrumentation Engineering, Pukyong National University) ;
  • Lee, Kyung-chang (Dept. of Control & Instrumentation Engineering, Pukyong National University)
  • Received : 2019.05.16
  • Accepted : 2019.06.14
  • Published : 2019.07.31

Abstract

There is an increasing interest in health and research on methods for measuring human body information. The importance of continuously observing information such as the step change and the walking speed is increasing. At a person's gait, information about the disease and the currently weakened area can be known. In this paper, gait is measured using wearable walking module built in shoes. We want to make continuous measurement possible by simplifying gait measurement method. This module is designed to receive information of gyro sensor and acceleration sensor. The designed module is capable of WiFi communication and the collected walking information is stored in the server. The information stored in the server is corrected by integrating the acceleration sensor and the gyro sensor value. A band-pass filter was used to reduce the error. This data is categorized by the Gait Finder into walking and waiting states. When walking, each step is divided and stored separately for analysis.

Keywords

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Fig. 1 General layer architecture for gait pattern monitoring and assessment system

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Fig. 2 Experimental shoes with embedded modules.

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Fig. 3 Snapshot for gathering gait data.

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Fig. 5 Gait step determination using gathering procedure.

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Fig. 4 Gathering procedure of gait step.

Table 1. Comparison of Actual Steps and Measures Steps

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