Title
Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application
Abstract
In this paper, the feasibility of using wearable wireless low-cost motion trackers equipped with magnetic/inertial sensors in daily human activities was investigated. Five previously introduced attitude estimation algorithms were chosen and implemented in Windows IoT environment. A Texas Instrument CC2650STK wireless sensor was utilized to capture the raw magnetic/inertial data. The raw data was streamed to a DragonBoard 410c single board computer in real-time via Bluetooth low energy with the low sampling frequency. The sensor attitude was estimated using the attitude estimation algorithms continuously. A Shimmer 3 AHRS system was used as a golden standard, and the orientation of the Shimmer 3 was acquired using the Shimmer Consensys PRO 1.5 software. The experimental test showed poor agreement between the estimated and reference orientations and that the calculated orientation was dependent on an initial calibration. Based on the preliminary results and the current limitations in the wearable motion trackers, we may conclude that a precise estimation of a rigid body angle may not be achieved using wearable motion trackers in daily activities and other clinical applications.
Year
DOI
Venue
2018
10.1109/ICCE-Berlin.2018.8576239
2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
Keywords
Field
DocType
human motion tracking,magnetic,angular rate and gravity sensor,Windows IoT,wireless wearable trackers
Wireless,Wearable computer,Computer science,Sampling (signal processing),Algorithm,Attitude and heading reference system,Software,Single-board computer,Inertial measurement unit,Calibration
Conference
ISSN
ISBN
Citations 
2166-6814
978-1-5386-6096-6
0
PageRank 
References 
Authors
0.34
10
5
Name
Order
Citations
PageRank
Mohammad Reza Naeemabadi100.34
Birthe Dinesen2175.07
Samira Najafi300.34
Mikkel Thøgersen400.34
John Hansen561.90