Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
권호 표지
DOI QR코드

DOI QR Code

Discussion on the Value of Using Gait Analysis System Using Smart Shoes

스마트 신발을 활용한 보행분석 시스템 활용 가치에 대한 논의

  • Park, Tae-Sung (Biomedical Research Institude, Pusan National University Hospital) ;
  • Shin, Myung-Jun (Department of Rehabilitation Medicine, Pusan National University Hospital) ;
  • Lee, Lee-Eun (Biomedical Research Institude, Pusan National University Hospital)
  • 박태성 (부산대학교병원 의생명연구원) ;
  • 신명준 (부산대학교병원 재활의학과) ;
  • 이은이 (부산대학교병원 의생명연구원)
  • Received : 2019.02.13
  • Accepted : 2019.03.20
  • Published : 2019.03.28
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to verify whether the data measured by the researcher and the smart shoe sensor data are the same or similar by performing the 6 - minute walking test and time up and go test after putting smart shoes on a normal person. Ten normal adult males participated. After wearing smart shoes, they performed a 6-minute walk test and a time up and go test. The results of this experiment show that the accuracy of the current sensor is high. The difference in the distance of the 6-minute walking test is that the difference is because the turning point, which is not calculated in the actual 30-m track, measures the distance. From this point of view, it can be seen that smart shoes measure more accurate distance and it is expected that various tests will be possible through smart sensors.

본 연구는 정상인에게 스마트 신발을 착용 시킨 후, 6분 보행검사와 일어나 걸어가기 검사를 실시하여 연구자가 측정한 데이터와 스마트 신발 센서 데이터가 동일 및 유사한지 확인 하고자 하였다. 정상 성인 남성 10명으로 진행을 하였으며 스마트 신발을 착용 한 후 6분 보행검사와 일어나 걸어가기 검사를 실시하여 데이터를 분석 하였다. 본 실험의 결과를 보았을 때 현재 센서의 정확도는 높은 편으로 보여 진다. 6분 보행검사의 거리에 차이가 나타난 것은 실제 30m 트랙에서 계산하지 않는 반환점도 거리를 측정하기 때문에 차이가 나타난 것으로 보인다. 이러한 관점에서 보았을 때 스마트 신발이 좀 더 정확한 거리를 측정 하였다고 볼 수가 있으며 추후 스마트 센서를 통한 다양한 검사가 가능 할 것으로 보여 진다.

Keywords

JKOHBZ_2019_v9n3_128_f0001.png 이미지

Fig.1 Smart shoes

JKOHBZ_2019_v9n3_128_f0002.png 이미지

Fig. 2. 6 minute walk test track

JKOHBZ_2019_v9n3_128_f0003.png 이미지

Fig. 3. Time up and go test

Table 1. General characteristics of subjects

JKOHBZ_2019_v9n3_128_t0001.png 이미지

Table 2. Test result

JKOHBZ_2019_v9n3_128_t0002.png 이미지

References

  1. A. Schmid et al. (2007). Improvements in speed-based gait classifications are meaningful. Stroke, 38(7), 2096-100. https://doi.org/10.1161/STROKEAHA.106.475921
  2. H. R. Jung & D. W. Oh. (2017). Influence of Walking Capacity and Environment on the Outcomes of Shortand Long-distance Walking Velocity Tests in Individuals with Chronic Stroke. Physical Therapy Korea, 24(3), 01-09. https://doi.org/10.12674/ptk.2017.24.3.001
  3. S. J. Choi & D. W. Oh. (2012). The Effects of Intensive Chest Mobility Exercise on Increasing Pulmonary Function and Gait in Stroke Patients. Journal of Special Education & Rehabilitation Science, 51(2), 221-239.
  4. S. M. Sim & D. W. Oh. (2011). Use of the 6-Minute Walk Test as Gait Therapy for Hemiplegic Patients: Possibility of Practice Effect by Providing Knowledge of Result. Korean Journal of Health Promotion. 11(1), 42-47.
  5. J. S. Park & J. Y. Park. (2016). Market trends and business opportunities of the smart insole technology. Journal of the Korea Institute of Information and Communication Engineering, 20(7), 1389-1397. https://doi.org/10.6109/jkiice.2016.20.7.1389
  6. C. H. Kim et al. (2008). Predicting Oxygen Uptake for Men with Moderate to Severe Chronic Obstructive Pulmonary Disease. Tuberculosis and Respiratory Diseases, 64(6), 1433-438.
  7. S. H. Lee & B. Y. Hwang. (2008). The Correlations among the Dynamic Gait Index the Berg Balance Scale and Timed Up & Go Test in people with strokel. The journal of Korean academy of physical therapy science. 15(3), 1-8.
  8. S. B. Park et al. (2014). Development of smart shoes with personalized mobile health management system. Eromonomics Society of Korea, 11, 141-144.
  9. S. P. Jun, Y. Y. You & S. B. Park. (2016). Development of Smart Shoe with Musculoskeletal Injury Prevention and Monitoring System. Korean Society of precision engineering, 10, 599-600.
  10. E. Myagmar, T. S. Kim & S. R. Kwon. (2017). Real Time Healthcare System using Smart Shoes. THE INSTITUTE OF ELECTRONICS ENGINEERS OF KOREA, 6, 1372-1373.
  11. S. B. Park & S. K. Park. (2009). Validation of SMART technology controller's ability to calculate metabolic energy expenditure. The Korean Journal of Physical Education, 48(3), 499-506.
  12. S. M. Kim. (2018). A Study on the Design Plan of UX for the Smart Healthcare for the Aged Society - Focused on IOT Technology. Jour. of KoCon.a, 18(11), 462-474.
  13. G. Y. Lee & D. M. Lee. (2018). A Study on the Future Bathroom Coupled with Smart Healthcare System. Journal of the Korea Convergence Society, 9(3), 203-209 https://doi.org/10.15207/JKCS.2018.9.3.203