Int. J. of Ad Hoc and Ubiquitous Computing   »   2016 Vol.23, No.1/2

 

 

Title: Multi sensor system for pedestrian tracking and activity recognition in indoor environments

 

Authors: Juan Jose Marron; Miguel A. Labrador; Adrian Menendez-Valle; Daniel Fernandez-Lanvin; Martin Gonzalez-Rodriguez

 

Addresses:
Department of Computer Science and Engineering, University of South Florida, Tampa, Florida, 33620, USA
Department of Computer Science and Engineering, University of South Florida, Tampa, Florida, 33620, USA
Department of Computer Science and Engineering, University of South Florida, Tampa, Florida, 33620, USA
Department of Computer Science, University of Oviedo, Oviedo, 33007, Spain
Department of Computer Science, University of Oviedo, Oviedo, 33007, Spain

 

Abstract: The widespread use of mobile devices and the rise of global navigation satellite systems (GNSS) have allowed mobile tracking applications to become very valuable in outdoor environments. However, tracking pedestrians in indoor environments is still a very challenging topic. This paper presents a system for pedestrian tracking and activity recognition in indoor environments using exclusively common off-the-shelf sensors embedded in smartphones. The proposed system combines the detection of biomechanical patterns of the human body while accomplishing basic activities along with identifiable signatures that certain indoor locations introduce on sensing data. The system was implemented and tested on Android-based mobile phones. The system detects and counts steps on a flat surface or stairs, tracks users' changes of direction and altitude, and recognises the proposed human activities with accuracy. All combined this leads to a total tracking accuracy of 91.06% in common human motion indoor displacements.

 

Keywords: smartphones; sensor fusion; pedestrian tracking; activity recognition; inertial navigation; indoor localisation; ubiquitous computing; multisensor systems; indoor environments; mobile tracking; biomechanical patterns; biomechanics; Androids; mobile phones; cell phones; human motion.

 

DOI: 10.1504/IJAHUC.2016.10000202

 

Int. J. of Ad Hoc and Ubiquitous Computing, 2016 Vol.23, No.1/2, pp.3 - 23

 

Available online: 17 Aug 2016

 

 

Editors Full text accessAccess for SubscribersPurchase this articleComment on this article