Human tracking and identification using a sensitive floor and wearable accelerometers

We describe a method for user tracking and localization based on textile capacitive sensor arrays placed under the floor. The sensor array is a commercial product (SensFloor®) that can be installed under any standard floor type (from carpet to stone) and is able to detect objects (including the user's foot) being placed on it. The challenges addressed in this paper are (1) how to map sequences of such signals onto user trajectories and (2) how to correlate the steps detected by the SensFloor system with the step detection based on a wearable accelerometer as means of user identification. Footstep detection is performed online on the devices, which are seamlessly integrated with the floor's wireless sensor network. Initial experiments performed over a week in a real life office environment show the ability to track multiple humans and to identify up to three users walking in a narrow corridor at the same time.

[1]  Ulises Cortés,et al.  Introduction to the Special theme - Ambient Assisted Living , 2011, ERCIM News.

[2]  Axel Steinhage,et al.  Monitoring Movement Behavior by Means of a Large Area Proximity Sensor Array in the Floor , 2008, BMI.

[3]  J. L. Roux.  An Introduction to the Kalman Filter , 2003 .

[4]  Feng Zhao,et al.  A reliable and accurate indoor localization method using phone inertial sensors , 2012, UbiComp.

[5]  Juha Röning,et al.  Gaussian Process Person Identifier Based on Simple Floor Sensors , 2008, EuroSSC.

[6]  Neil Zhao.  Full-Featured Pedometer Design Realized with 3-Axis Digital Accelerometer , 2010 .

[7]  LI X.RONG,et al.  Survey of maneuvering target tracking. Part I. Dynamic models , 2003 .

[8]  X. R. Li,et al.  Survey of maneuvering target tracking. Part I. Dynamic models , 2003 .

[9]  Martina Ziefle,et al.  Future Care Floor: A Sensitive Floor for Movement Monitoring and Fall Detection in Home Environments , 2010, MobiHealth.

[10]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[11]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[12]  Masamichi Shimosaka,et al.  Multiple Persons Tracking with Data Fusion of Multiple Cameras and Floor Sensors Using Particle Filters , 2008 .

[13]  Paul Lukowicz,et al.  Collaborative PDR Localisation with Mobile Phones , 2011, 2011 15th Annual International Symposium on Wearable Computers.

[14]  N. Funk.  A Study of the Kalman Filter applied to Visual Tracking , 2003 .

[15]  Andy Hopper,et al.  The active badge location system , 1992, TOIS.

[16]  Gregory D. Abowd,et al.  The smart floor: a mechanism for natural user identification and tracking , 2000, CHI Extended Abstracts.

[17]  Joseph A. Paradiso,et al.  Applying electric field sensing to human-computer interfaces , 1995, CHI '95.

[18]  A. Steinhage,et al.  Large-area wireless sensor system based on smart textiles , 2012, International Multi-Conference on Systems, Sygnals & Devices.