Next Article in Journal
Spatial-Temporal Data Collection with Compressive Sensing in Mobile Sensor Networks
Next Article in Special Issue
Combining a Disturbance Observer with Triple-Loop Control Based on MEMS Accelerometers for Line-of-Sight Stabilization
Previous Article in Journal
Modeling and Positioning of a PZT Precision Drive System
Previous Article in Special Issue
Loose Coupling of Wearable-Based INSs with Automatic Heading Evaluation
Open AccessArticle

A Smartphone Step Counter Using IMU and Magnetometer for Navigation and Health Monitoring Applications

by Maan Khedr 1,2,* and Nasser El-Sheimy 1
1
Department of Geomatics Engineering, University of Calgary, 2500 University Dr NW, Calgary, AB T2N1N4, Canada
2
Department of Computer Engineering, Arab Academy for Science and Technology, Alexandria, P.O. Box 1029, Egypt
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(11), 2573; https://doi.org/10.3390/s17112573
Received: 9 October 2017 / Revised: 27 October 2017 / Accepted: 27 October 2017 / Published: 8 November 2017
(This article belongs to the Special Issue Inertial Sensors for Positioning and Navigation)
The growing market of smart devices make them appealing for various applications. Motion tracking can be achieved using such devices, and is important for various applications such as navigation, search and rescue, health monitoring, and quality of life-style assessment. Step detection is a crucial task that affects the accuracy and quality of such applications. In this paper, a new step detection technique is proposed, which can be used for step counting and activity monitoring for health applications as well as part of a Pedestrian Dead Reckoning (PDR) system. Inertial and Magnetic sensors measurements are analyzed and fused for detecting steps under varying step modes and device pose combinations using a free-moving handheld device (smartphone). Unlike most of the state of the art research in the field, the proposed technique does not require a classifier, and adaptively tunes the filters and thresholds used without the need for presets while accomplishing the task in a real-time operation manner. Testing shows that the proposed technique successfully detects steps under varying motion speeds and device use cases with an average performance of 99.6%, and outperforms some of the state of the art techniques that rely on classifiers and commercial wristband products. View Full-Text
Keywords: adaptive step detection; step counting; activity tracking; Pedestrian Dead Reckoning; Magnetometer fusion; MEMS IMU adaptive step detection; step counting; activity tracking; Pedestrian Dead Reckoning; Magnetometer fusion; MEMS IMU
Show Figures

Figure 1

MDPI and ACS Style

Khedr, M.; El-Sheimy, N. A Smartphone Step Counter Using IMU and Magnetometer for Navigation and Health Monitoring Applications. Sensors 2017, 17, 2573.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop