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Sensors 2012, 12(5), 6155-6175; doi:10.3390/s120506155
Article

Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning

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Received: 20 March 2012; in revised form: 17 April 2012 / Accepted: 28 April 2012 / Published: 10 May 2012
(This article belongs to the Section Physical Sensors)
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Abstract: The paper presents an indoor navigation solution by combining physical motion recognition with wireless positioning. Twenty-seven simple features are extracted from the built-in accelerometers and magnetometers in a smartphone. Eight common motion states used during indoor navigation are detected by a Least Square-Support Vector Machines (LS-SVM) classification algorithm, e.g., static, standing with hand swinging, normal walking while holding the phone in hand, normal walking with hand swinging, fast walking, U-turning, going up stairs, and going down stairs. The results indicate that the motion states are recognized with an accuracy of up to 95.53% for the test cases employed in this study. A motion recognition assisted wireless positioning approach is applied to determine the position of a mobile user. Field tests show a 1.22 m mean error in “Static Tests” and a 3.53 m in “Stop-Go Tests”.
Keywords: motion recognition; LS-SVM; indoor navigation; positioning; wireless; smartphone motion recognition; LS-SVM; indoor navigation; positioning; wireless; smartphone
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Pei, L.; Liu, J.; Guinness, R.; Chen, Y.; Kuusniemi, H.; Chen, R. Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning. Sensors 2012, 12, 6155-6175.

AMA Style

Pei L, Liu J, Guinness R, Chen Y, Kuusniemi H, Chen R. Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning. Sensors. 2012; 12(5):6155-6175.

Chicago/Turabian Style

Pei, Ling; Liu, Jingbin; Guinness, Robert; Chen, Yuwei; Kuusniemi, Heidi; Chen, Ruizhi. 2012. "Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning." Sensors 12, no. 5: 6155-6175.



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