Accurate Location Stream Tracking and Recognition Using an Ultrasound Localization System

High precision localization technology is the basis of fine-grained Location-based Service (LBS), such as interactive games, etc. A novel location system named Dragon is proposed, which provides target location in centimeter-level precision with 10Hz refreshing rate. Dragon uses a Fake-spot filtration algorithm to deal with the NLOS measurements and uses Extended Kalman Filtering (EKF) to handle the mistake of ranging detection and the ranging noises. Further, the high accuracy location stream obtained from Dragon is exploited for location-based control via recognizing the gesture of a moving target. Particularly, the design methodologies, establishment and performance evaluations of Dragon and the gesture recognition systems are presented.

[1]  Mohammad Syafrudin,et al.  LOSNUS: An ultrasonic system enabling high accuracy and secure TDoA locating of numerous devices , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

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

[3]  Andy Hopper,et al.  A new location technique for the active office , 1997, IEEE Wirel. Commun..

[4]  Eric A. Wan,et al.  A tag-free solution to unobtrusive indoor tracking using wall-mounted ultrasonic transducers , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[5]  Sverre Holm,et al.  Robust ultrasonic indoor positioning using transmitter arrays , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[6]  Masanori Sugimoto,et al.  An accurate technique for simultaneous measurement of 3D position and velocity of a moving object using a single ultrasonic receiver unit , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[7]  Xin Wang,et al.  A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[8]  Qiang Yang,et al.  HIPS: A calibration-less hybrid indoor positioning system using heterogeneous sensors , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.

[9]  Yunhao Liu,et al.  Beyond Triangle Inequality: Sifting Noisy and Outlier Distance Measurements for Localization , 2010, 2010 Proceedings IEEE INFOCOM.

[10]  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).

[11]  Toshio Ito,et al.  Fast and accurate ultrasonic 3D localization using the TSaT-MUSIC algorithm , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[12]  Zhao Junhui,et al.  PosPush: A Highly Accurate Location-Based Information Delivery System , 2009, 2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies.

[13]  Hari Balakrishnan,et al.  6th ACM/IEEE International Conference on on Mobile Computing and Networking (ACM MOBICOM ’00) The Cricket Location-Support System , 2022 .