멀티센서기반 보행상태 분석 시스템 설계 및 구현
Design and Implementation of Walking Status Analysis System based on Multi-Sensors
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초록
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.
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.
참고문헌 (24)
- ICT convergence technology trends and prospects in the wellness field, "Sung Hoon Shin", Institute for Information & Communications Technology Promotion, ~ (2016)
- Seung-Hun Park, "IT Convergence Trends in Wellness", Communications of the Korean Institute of Information Scientists and Engineers, 31(3), pp.61~72 (2013)
- Alwan, "Passive in-home health and wellness monitoring: Overview, value and examples", Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, pp.4307~4310 (2009)
- 손조욱, "걷기운동이 양로시설 여성노인의 생리적 지수, 체력, 자아존중감, 우울과 생활만족도에 미치는 효과", 지역사회간호학회지, 17(1), pp.5~16 (2006), 한국지역사회간호학회
- Sun-Ha Choi, "The Effects of Exercise Program on Health of the Elderly in Senior Citizen’s Center", Journal of Korean Public Health Nursing, 11(2), pp.38~56 (1997)
- Deog Young Kim, "Kinematic and Kinetic Comparison between Stair Climbing and Level Walking", Journal of Korean Academy of Rehabilitation Medicine, 25(6), pp.1048~1058 (2001)
- Haines, Danell J., "A pilot intervention to promote walking and wellness and to improve the health of college faculty and staff", Journal of American College Health, 55(4), pp.219~225 (2007)
- 남윤영, "이미지 센서와 3축 가속도 센서를 이용한 인간 행동 인식", 인터넷정보학회논문지, 11(1), pp.129~141 (2010), 한국인터넷정보학회
- Bao, Ling, "Activity recognition from user-annotated acceleration data", Pervasive computing, pp.1~17 (2004)
- Real-time motion classification for wearable computing applications, "DeVaul", ~ (2001)
- Krause, A., "Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing", ISWC, 3, pp.88~ (2003)
- Kern, Nicky, "Multi-sensor activity context detection for wearable computing", EUSAI, pp.220~232 (2003)
- Nakata, "Recognizing human activities in video by multi-resolutional optical flows", Intelligent Robots and Systems, pp.1793~1798 (2006)
- Cho, Yong-Won, "SmartPendant: An intelligent device for human activity recognition and location tracking", Proceedings of the Korean Information Science Society Conference (2007)
- S. Woo, "Application of WiFi-based indoor positioning system for labor tracking at construction sites : A case study in Guangzhou MTR", Journal of Automation in Construction, 20(1), pp.3~13 (2011)
- P. Bahl, "RADAR: An In-Building RF-based User Location and Tracking System", Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, 2, pp.775~784 (2000)
- H. Y. Sun, "Wi-Fi Network-Based Fingerprinting Algorithm for Localization in Coal Mine Tunnel", Journal of Internet Technology, 99(99), pp.1~10 (2015)
- Wanlong Zhao, "A Testbed of Performance Evaluation for Fingerprint Based WLAN Positioning System", KSII Transactions on Internet and Information Systems, 10(6), pp.2583~2605 (2016), 한국인터넷정보학회[DOI]
- Yu-Sheng Lu, "Path Loss Exponent Estimation for Indoor Wireless Sensor Positioning", KSII Transactions on Internet and Information Systems, 4(3), pp.243~257 (2010), 한국인터넷정보학회
- 허수정, "지구 자기장 기반의 Fingerprint 실내 위치추정 방법 연구", 한국통신학회논문지C, 38(1), pp.131~140 (2013), 한국통신학회
- 정준희, "BLE 비콘 시스템에서 측위 정밀도 향상을 위한 위치 오차 보정 알고리즘", 한국위성정보통신학회논문지, 11(4), pp.63~67 (2016), 사단법인 한국위성정보통신학회
- T. Mori, "Experiments of position estimation by BLE beacons on actual situations", Consumer Electronics(GCCE), 2015IEEE 4th Global Conference on IEEE, pp.683~684 (2015)
- M. G. Ji, "Analysis of positioning accuracy corresponding to the number of BLE beacons in indoor positioning system", Journal of Advanced Communication Technology, 17th International Conference on IEEE, pp.92~95 (2015)
- Wook Song, "Implementation of Android Application for Indoor Positioning System with Estimote BLE Beacons", Journal of Internet Technology, 19(3), pp.871~878 (2018)