Design of Bowing-Activity Monitoring and Automatic Detection System Using 3-Axis Accelerometer

Abstract

Abstract - In this paper, a new reliable portable activity monitoring device implemented with the buddhist-style bowing activity and walking step detection algorithm, is presented. In order to monitor the bowing and walking activities, miniaturized 3-axis accelerometer sensor with the sensitivity of 800 mV/g was used. After initial signal conditioning, vector magnitude of accelerometer signals was calculated. Syntactic peak detection method was used in order to feature points. All signal processing algorithms were implemented in ultra-low power microcontroller MSP430 with double precision floating point arithmetic. For evaluation, 19 young man(24.22±5.22 yrs) and woman(22.28±2.72 yrs) were involved. The accuracy of the proposed algorithms were 98.91%(±0.011) for walking step detection and 98.25%(±0.023) for buddhist-style bowing activity. Comparing to the commercialized pedometer accuracy, 87.1%(±0.058), the proposed walking step detection algorithms show more reliable accuracy. Key Words : 108 Bows, Pedometer, Walking Step, Bowing Activity, Wearable Monitor † 교신저자, 정회원 : 건국대 의료생명대 의학공학부 조교수, 건국대 의공학실용기술연구소・공박E-mail : jwlee95@kku.ac.kr* 정 회 원 : 건국대학교 의학공학부 박사과정** 비 회 원 : 경희대학교 체육대학 교수・체육과학박사*** 비 회 원 : (주)지우솔루션 기술연구소 접수일자 : 2010년 4월 26일 최종완료 : 2010년 5월 18일