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

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.

[1]  Brendon Baker,et al.  Global Positioning System , 2010 .

[2]  Miguel A. Labrador,et al.  Real-time pedestrian tracking in indoor environments , 2014, 2014 IEEE Latin-America Conference on Communications (LATINCOM).

[3]  浩一 楠,et al.  保有水平耐力計算とInternational Building Codeの比較と検討 , 2014 .

[4]  Carl Fischer,et al.  Tutorial:implementation of a pedestrian tracker using foot-mounted inertial sensors , 2013 .

[5]  Carl Fischer,et al.  Tutorial: Implementing a Pedestrian Tracker Using Inertial Sensors , 2013, IEEE Pervasive Computing.

[6]  Robert Harle,et al.  A Survey of Indoor Inertial Positioning Systems for Pedestrians , 2013, IEEE Communications Surveys & Tutorials.

[7]  Moustafa Youssef,et al.  CrowdInside: automatic construction of indoor floorplans , 2012, SIGSPATIAL/GIS.

[8]  Moustafa Youssef,et al.  No need to war-drive: unsupervised indoor localization , 2012, MobiSys '12.

[9]  Moustafa Youssef,et al.  UPTIME: Ubiquitous pedestrian tracking using mobile phones , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[10]  Maria Garcia Puyol,et al.  Collaborative Pedestrian Mapping of Buildings Using Inertial Sensors and FootSLAM , 2011 .

[11]  Ig-Jae Kim,et al.  Indoor location sensing using geo-magnetism , 2011, MobiSys '11.

[12]  Mehmet N. Aydin,et al.  Development of an Indoor Navigation System Using NFC Technology , 2011, 2011 Fourth International Conference on Information and Computing.

[13]  Romit Roy Choudhury,et al.  Did you see Bob?: human localization using mobile phones , 2010, MobiCom.

[14]  Gernot Heiser,et al.  An Analysis of Power Consumption in a Smartphone , 2010, USENIX Annual Technical Conference.

[15]  Mehul Motani,et al.  SparseTrack: Enhancing Indoor Pedestrian Tracking with Sparse Infrastructure Support , 2010, 2010 Proceedings IEEE INFOCOM.

[16]  Injong Rhee,et al.  Towards Mobile Phone Localization without War-Driving , 2010, 2010 Proceedings IEEE INFOCOM.

[17]  F. Seco,et al.  A comparison of Pedestrian Dead-Reckoning algorithms using a low-cost MEMS IMU , 2009, 2009 IEEE International Symposium on Intelligent Signal Processing.

[18]  Romit Roy Choudhury,et al.  SurroundSense: mobile phone localization via ambience fingerprinting , 2009, MobiCom '09.

[19]  Frédéric Lassabe,et al.  Indoor Wi-Fi positioning: techniques and systems , 2009, Ann. des Télécommunications.

[20]  Michael Mock,et al.  A step counter service for Java-enabled devices using a built-in accelerometer , 2009, CAMS '09.

[21]  Robert Harle,et al.  RF-Based Initialisation for Inertial Pedestrian Tracking , 2009, Pervasive.

[22]  Ignas Niemegeers,et al.  A survey of indoor positioning systems for wireless personal networks , 2009, IEEE Communications Surveys & Tutorials.

[23]  Yongcai Wang,et al.  Autonomous Ultrasonic Indoor Tracking System , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications.

[24]  Robert Harle,et al.  Pedestrian localisation for indoor environments , 2008, UbiComp.

[25]  Jose A. Lopez-Salcedo,et al.  DINGPOS: A Hybrid Indoor Navigation Platform for GPS and GALILEO , 2008 .

[26]  Mortaza S. Bargh,et al.  Indoor localization based on response rate of bluetooth inquiries , 2008, MELT '08.

[27]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[28]  C.J. Bleakley,et al.  Accuracy of Spread Spectrum Techniques for Ultrasonic Indoor Location , 2007, 2007 15th International Conference on Digital Signal Processing.

[29]  J.A. Besada,et al.  Analysis of tracking methods for wireless indoor localization , 2007, 2007 2nd International Symposium on Wireless Pervasive Computing.

[30]  Upkar Varshney,et al.  Pervasive Healthcare and Wireless Health Monitoring , 2007, Mob. Networks Appl..

[31]  Guenther Retscher,et al.  Performance and accuracy test of a WiFi indoor positioning system , 2007 .

[32]  Phillip Tomé,et al.  Indoor Navigation of Emergency Agents , 2007 .

[33]  Adrian David Cheok,et al.  Pervasive games: bringing computer entertainment back to the real world , 2005, CIE.

[34]  H. Darabi,et al.  A comparative study of radio frequency-based indoor location sensing systems , 2004, IEEE International Conference on Networking, Sensing and Control, 2004.

[35]  Yunhao Liu,et al.  LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[36]  V. Hovinen,et al.  Ultra wideband indoor radio channel models: preliminary results , 2002, 2002 IEEE Conference on Ultra Wideband Systems and Technologies (IEEE Cat. No.02EX580).

[37]  R. A. Gray,et al.  An integrated GPS/INS/baro and radar altimeter system for aircraft precision approach landings , 1995, Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995.

[38]  Bradford W. Parkinson,et al.  Global Positioning System , 1995 .