Carrying Position Independent User Heading Estimation for Indoor Pedestrian Navigation with Smartphones
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[1] Andreas F. Molisch,et al. Localization via Ultra- Wideband Radios , 2005 .
[2] Weiping Zhu,et al. Fault-tolerant RFID reader localization based on passive RFID tags , 2012, 2012 Proceedings IEEE INFOCOM.
[3] Davide Anguita,et al. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine , 2012, IWAAL.
[4] Hojung Cha,et al. Smartphone-Based Collaborative and Autonomous Radio Fingerprinting , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[5] Lin Ma,et al. Indoor positioning via nonlinear discriminative feature extraction in wireless local area network , 2012, Comput. Commun..
[6] Rahim Tafazolli,et al. Design, Realization, and Evaluation of uDirect-An Approach for Pervasive Observation of User Facing Direction on Mobile Phones , 2014, IEEE Transactions on Mobile Computing.
[7] Di Wu,et al. Heading Estimation for Indoor Pedestrian Navigation Using a Smartphone in the Pocket , 2015, Sensors.
[8] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[9] Paul J. M. Havinga,et al. Fusion of Smartphone Motion Sensors for Physical Activity Recognition , 2014, Sensors.
[10] G.B. Giannakis,et al. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.
[11] Mu Zhou,et al. Smartphone-Based Indoor IntegratedWiFi/MEMS Positioning Algorithm in a Multi-Floor Environment , 2015, Micromachines.
[12] Zhenyu Na,et al. Extended Kalman Filter for Real Time Indoor Localization by Fusing WiFi and Smartphone Inertial Sensors , 2015, Micromachines.
[13] Daniel Olguín Olguín,et al. Sensor-based organizational engineering , 2009, ICMI-MLMI '09.
[14] Eric Foxlin,et al. Pedestrian tracking with shoe-mounted inertial sensors , 2005, IEEE Computer Graphics and Applications.
[15] Takeshi Kurata,et al. A method of pedestrian dead reckoning for smartphones using frequency domain analysis on patterns of acceleration and angular velocity , 2014, 2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014.
[16] Cem Ersoy,et al. Online Human Activity Recognition on Smart Phones , 2012 .
[17] Wamadeva Balachandran,et al. Visual odometer for pedestrian navigation , 2003, IEEE Trans. Instrum. Meas..
[18] Hao Jiang,et al. Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization , 2015, Sensors.
[19] Feng Qiu,et al. An Information-Based Approach to Precision Analysis of Indoor WLAN Localization Using Location Fingerprint , 2015, Entropy.
[20] Valérie Renaudin,et al. Magnetic, Acceleration Fields and Gyroscope Quaternion (MAGYQ)-Based Attitude Estimation with Smartphone Sensors for Indoor Pedestrian Navigation , 2014, Sensors.
[21] Moustafa Youssef,et al. No need to war-drive: unsupervised indoor localization , 2012, MobiSys '12.
[22] Thiagalingam Kirubarajan,et al. Estimation with Applications to Tracking and Navigation , 2001 .
[23] Feng Zhao,et al. A reliable and accurate indoor localization method using phone inertial sensors , 2012, UbiComp.
[24] Moustafa Youssef,et al. SemanticSLAM: Using Environment Landmarks for Unsupervised Indoor Localization , 2016, IEEE Transactions on Mobile Computing.
[25] Angelo M. Sabatini,et al. Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing , 2006, IEEE Transactions on Biomedical Engineering.
[26] Helena Leppäkoski,et al. Pedestrian Navigation Based on Inertial Sensors, Indoor Map, and WLAN Signals , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[27] F. Ichikawa,et al. Where's The Phone? A Study of Mobile Phone Location in Public Spaces , 2005, 2005 2nd Asia Pacific Conference on Mobile Technology, Applications and Systems.
[28] Fei Li,et al. An Indoor Continuous Positioning Algorithm on the Move by Fusing Sensors and Wi-Fi on Smartphones , 2015, Sensors.
[29] Fredrik Gustafsson,et al. Robust heading estimation indoors using convex optimization , 2013, Proceedings of the 16th International Conference on Information Fusion.
[30] Peilin Liu,et al. Vector Graph Assisted Pedestrian Dead Reckoning Using an Unconstrained Smartphone , 2015, Sensors.
[31] Bernt Schiele,et al. Dead reckoning from the pocket - An experimental study , 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[32] Inhyuk Moon,et al. Face direction-based human-computer interface using image observation and EMG signal for the disabled , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[33] Xiaoji Niu,et al. Autonomous Calibration of MEMS Gyros in Consumer Portable Devices , 2015, IEEE Sensors Journal.
[34] Lawrence Wai-Choong Wong,et al. A robust dead-reckoning pedestrian tracking system with low cost sensors , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[35] H. S. Wolff,et al. iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.
[36] Mu Zhou,et al. PRIMAL: Page Rank-Based Indoor Mapping and Localization Using Gene-Sequenced Unlabeled WLAN Received Signal Strength , 2015, Sensors.
[37] Paul Lukowicz,et al. Which Way Am I Facing: Inferring Horizontal Device Orientation from an Accelerometer Signal , 2009, 2009 International Symposium on Wearable Computers.