Browse > Article

Implementation of Cushion Type Posture Discrimination System Using FSR Sensor Array  

Kim, Mi-Seong (Division of Computer Engineering, Dongseo University)
Seo, Ji-Yun (Division of Computer Engineering, Dongseo University)
Noh, Yun-Hong (Department of Computer engineering, Busan Digital University)
Jeong, Do-Un (Division of Computer Engineering, Dongseo University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.20, no.2, 2019 , pp. 99-104 More about this Journal
Abstract
Recently, modern people are increasing the incidence of various musculoskeletal diseases due to wrong posture. Prevention is possible through proper posture habit, but it is not easy to recognize posture by oneself. Various studies have been conducted to monitor persistent posture in daily life, but most studies using constrained measurement methods and high-cost measurement equipment are not suitable for daily life. In this paper, we implemented a posture discrimination system using a FSR sensor array that can induce posture correction spontaneously through sitting posture monitoring in daily life. The implemented system is designed as a cushion type so it is easy to apply to existing chair. In addition, it can identify five most common postures in everyday life, and can monitor real-time through Android-based smart-phone monitoring application. For the performance evaluation of the implemented system, each posture was measured 50 times repeatedly. As a result, 97.6% accuracy was confirmed.
Keywords
Musculoskeletal disorder; Posture correction; FSR sensor array; Monitoring system;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Kim JS, Hans Shin B, Kim SJ, Park HJ, "Work Posture Analysis for Preventing Musculoskeletal Disorders Using Kinect", 2016.
2 Mun-Ky Song, Ji-Young Kong, "Effects of Sitting Habits and Physical Activity Levels on Spine and Pelvis Deformations in School Children", 2017.
3 Health News, "Musculoskeletal Checkup Required to Improve Quality of Life", 2018.
4 Sanyona Ma, Sangpyo Hong, Hyeon-min Shim, Jang-Woo Kwon, Sangmin Lee, "A study on Sitting Posture Recognition using Machine Learning", The Transactions of the Korean Institute of Electrical Engineers, 65(9), 1557-1563, 2016.   DOI
5 Seung-Jin Moon, Yoon-Sung Park, "The Design and Implementation of the Position Calibration System Using Sensor on u-WBAN", Journal of Korean Institute of The Intelligent System, 20(2), 304-310, 2010.   DOI
6 Yongjoo Cho, Kyoung Shin Park, "Design and Development of the Multiple Kinect Sensor-basd Exercise Pose Estimation System", Journal of The Korea Institute of Information and Communication Engineering, 21(3), 558- 567, 2017.   DOI
7 Ho-jin Ha, Chang-dong Lee, "Design of Algorithm for Guidance of Sitting Posture Correction Using Pressure Sensor and Image Processing Interpolation Technique", 2016.
8 Yun-Hong Noh, Do-Un Jeong, "Implementation and Evaluation of Chair-type ECG Monitoring System using Unconstraint Electrode", The Korea Institute of Convergence Signal Processing, 2015.
9 An YS, Kim KS, Song CG. "Posture guidance system using 3-axis accelerometer for scoliosis patient", ICS 2009 Information and Control Symposium, 2009.
10 Jun JI, Park JI, "Posture-Correction-Guidance System Using Monocular Camera", Korean Broadcasting Engineering Conference, 2011.