Earticle

초록

영어

In daily life, walking is one of the most energy consumed activity. There are many researches’ focuses on energy expenditure estimation using GPS and 3-axis accelerometer for location tracking and activity monitoring. However, in the case of walking on a slope, GPS location tracking method and 3-axis accelerometer method are failed to estimate the energy consumption while walking on a slope. In this study, we combine the information of GPS in smart phone, the information of foot-mounted IMU and also the slope information from Google elevation database to estimate activity energy expenditure. Energy expenditure in static movement is calculated using accelerometer data. Therefore, the energy expenditure calculator is capable to calculate energy expenditure in static movement and also in dynamic movement. Experiment result shows that the increase in elevation in slope, there is an increase in activity energy expenditure. We also show there is higher energy expenditure when jumping.

목차

Abstract
 1. Introduction
 2. Energy Expenditure System
  2.1. GPS Data Processing
  2.2. GPS Data Processing
  2.3. GPS/PDR Integrated Location Tracking
  2.4. PNS/Elevation Integration Location
  2.5. Activity Energy Expenditure Estimation
 3. Experiments and Results
  3.1. Location Tracking Test Equipment
  3.2. Straight Walking Test and Results
  3.3. Location Tracking Test and Results
  3.4. Result of Activity Energy Expenditure Algorithm in an Outdoor Environment
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Yun-Hong Noh [ Department of Ubiquitous IT Engineering, Graduate School, Dongseo University ]
• Do-Un Jeong [ Division of Computer & Information Engineering, Dongseo University ] Correspondent Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605