Design and Implementation of Walking Status Analysis System based on Multi-Sensors

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.

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

Fig. 2. Categories of Wellness

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

Fig. 4. Configure walking status analysis dataset

Fig. 5. Barometer values during walking

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

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

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

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

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

Table 1. Result of Kalman filter calibration

Table 2. Experiment participation group information

Table 3. List of test devices

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