메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Implementation of Fall Direction Detector using a Single Gyroscope
Recommendations
Search
Questions

논문 기본 정보

Type
Academic journal
Author
Byung-Hyun Moon (대구대학교) Jeong Tak Ryu (대구대학교)
Journal
Korea Society of Industrial Informantion Systems Journal of the Korea Industrial Information Systems Research Vol.21 No.2 KCI Accredited Journals
Published
2016.4
Pages
31 - 37 (7page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Implementation of Fall Direction Detector using a Single Gyroscope
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
Falling situations are extremely critical events for the elderly person who requires timely and adequate emergency service. For the case of emergency, the information of falling and its direction can be used as an important information for the first aid treatment of the injured person. In this paper, a falling detection system which can pinpoint the falling event with the falling direction is implemented. In order to detect the fall situation, a single gyroscope (MPU-6050) is used in the developed system. The fall detection algorithm that can classify 8 different fall directions such as front, back, left, right and in between falls is proposed. The direction of the fall is decided by examining the acceleration values of X and Y directions of the sensor. It is shown that the proposed algorithm successfully detects the falling event and the falling direction with probability of 97% for a selected value of acceleration threshold.
#낙상방향감지알고리듬 #자이로센서 #Fall direction detection algorithm #Gyroscope

Contents

요약
Abstract
1. Introduction
2. Fall Detection System
3. Measurements Results
4. Conclusion
Reference

References (7)

Add References
P. Pierleoni et. al., "A High Reliability Wearable Device for Elderly Fall Detection", IEEE Sensors Journal, Vol. 15, No. 8, pp. 4544-4553, 2015. google schola F. Bianchi et. al., "Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection", IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol. 18, No. 6, pp. 619-627, 2010. google schola P. Kostopoulos et. al., "F2D: A Fall Detection System Tested with Real Data from Daily Life of Elderly People", 17th Internatioal Conference of E-health Networking, Application & services (HealthCom) , pp. 397-403, 2015. google schola Nitha V.P and Sukesh K. A, "Design of a Telemonitoring System for Detecting Falls fo the Elderly", 2015 ICGCIoT, pp. 800-803, 2015. google schola W.J. Lee et. al., "Design flow of Wearable Heart Monitoring and Fall Detection System using Wireless Intelligent Personal Communication Node", IEEE International Conference on Electro/ Information Technology (EIT) , pp. 314-319, 2015. google schola

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

The development of fall detection system using 3-axis acceleration sensor and tilt sensor
Jeong Tak Ryu Journal of the Korea Industrial Information Systems Research 2013 .08
The Study of Realtime Fall Detection System with Accelerometer and Tilt Sensor
Seong-Hyun Kim ,  Jin Pa ,  k and others 2 Journal of the Korean Society for Precision Engineering 2011 .11
Fall Detection System Using Motion Vector
Sang-Soo Kim ,  Sun-Woo Kim ,  Yeon-Sung Choi Journal of Korea Institute of Information, Electronics, and Communication Technology 2016 .02
사물인터넷(IoT) 연구동향
김말희 ,  표철식 The Proceedings of the Korea Electromagnetic Engineering Society 2016 .07
A Study on the development of platform based on IoT
Lee Seung Bae ,  Pa ,  k Myung Hye and others 4 Proceedings of Symposium of the Korean Institute of communications and Information Sciences 2016 .06

Recently viewed articles

Method of evaluating the importance of tasks in project using AHP(Analytic Hierarchy Process)
Seunguk Kang, Jinseong Yun, Junho So 외 1명2023.06
 Look-Up Table based Real-time High Resolution Panorama Video Stitching
Yongju Cho, Jeongil SeoKorea Institute Of Communication Sciences2015.06
 Volatility Spillover Effects across Foreign Exchange Markets: Evidence from the Won/Dollar Exchange Rate
Sung-Koo LeeKorea Trade Research Association2004.02
 Hunting Tools of the Upper Paleolithic in Siberia
손동혁2017

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2016-530-002838488