Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Design and Implementation of Walking Status Analysis System based on Multi-Sensors

  • Seo, Kwi-Bin (Dept. of Computer Science, Soonchunhyang University) ;
  • Lee, Seung-Hyun (School of Architectural Engineering, College of Science&Technology, Hongik University) ;
  • Hong, Min (Dept. of Computer Software Engineering, Soonchunhyang University)
  • Received : 2018.11.22
  • Accepted : 2018.12.18
  • Published : 2019.01.31
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Abstract

Recently, the advanced development of smart devices has increased the interest in health-care, and many people are paying more attentions to disease prevention than disease treatment. Among these prevention methods, the bare body movement has received much attention, and especially walking exercise is attracting much attention because it is enjoyable without any restrictions on place and time. Walking exercise is generally divided into two types: walking on the ground and climbing the stairs. Walking up the stairs consumes much more calories compared to walking on the ground. These walking exercises have the advantage that they can be easily performed by male and female without special equipments or economic considerations. However, there is a lack of applications and systems that accurately determine such walking and stair walking and measure momentum according to stair walking. In this paper, we designed and implemented a real-time walking status analysis system using smartwatch's, pedometer, smartphone's barometer and beacons.

Keywords

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Fig. 1. Average expectancy life increase of South Korea (National Statistical Office)

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Fig. 2. Categories of Wellness

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Fig. 3. Result of calibration before/after barometer values

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Fig. 4. Configure walking status analysis dataset

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Fig. 5. Barometer values during walking

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Fig. 6. Flowchart of Walking Status Analysis based on Barometer

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Fig. 7. Flowchart of Walking Status Analysis based on Accelerometer

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Fig. 8. Comparison before/after applying RSSI Kalman filter

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Fig. 9. Flowchart of Indoor location detection based on Beacons

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Fig. 10. Flowchart of Walking status analysis System based on Multi-Sensors

Table 1. Result of Kalman filter calibration

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Table 2. Experiment participation group information

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Table 3. List of test devices

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Table 4. Result of Walking status analysis based on Multi-Sensors

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