DocumentCode
720213
Title
Kalman filtering for wearable fitness monitoring
Author
Tran, K.H. ; Chew, M.T.
Author_Institution
Centre of Technol., RMIT Int. Univ. Vietnam, Ho Chi Minh City, Vietnam
fYear
2015
fDate
11-14 May 2015
Firstpage
2020
Lastpage
2025
Abstract
This paper presents a low-cost wearable fitness monitoring device utilizing a 6-axis Inertial Measurement Unit (IMU) embedding 3-axis gyroscope and 3-axis accelerometer. The objective is to measure the angular value form by the feet with respect to the gravitational vector while walking in order to estimate the stride length. Kalman filter is employed for the sensor fusion technique and data conditioning.
Keywords
Kalman filters; accelerometers; angular measurement; body sensor networks; gait analysis; gyroscopes; patient monitoring; sensor fusion; Kalman filtering; angle measurement; data conditioning; gravitational vector; sensor fusion technique; six-axis inertial measurement unit; stride length estimation; three-axis accelerometer; three-axis gyroscope; walking; wearable fitness monitoring device; Acceleration; Accelerometers; Foot; Gyroscopes; Kalman filters; Noise; Noise measurement; Kalman filtering; accelerometer; angle measurement; fusion; gyroscope; pedometer; sensors; stride length estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International
Conference_Location
Pisa
Type
conf
DOI
10.1109/I2MTC.2015.7151593
Filename
7151593
Link To Document