Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders
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Haiyong Luo | Aidong Men | Yan Huang | Qu Wang | Fang Zhao | Langlang Ye | Haiyong Luo | Aidong Men | Yan Huang | Fang Zhao | Qu Wang (王曲) | L. Ye
[1] Haiyong Luo,et al. DePedo: Anti Periodic Negative-Step Movement Pedometer with Deep Convolutional Neural Networks , 2018, 2018 IEEE International Conference on Communications (ICC).
[2] Tony Szturm,et al. Guidelines for Assessment of Gait and Reference Values for Spatiotemporal Gait Parameters in Older Adults: The Biomathics and Canadian Gait Consortiums Initiative , 2017, Front. Hum. Neurosci..
[3] P. Robertson,et al. Unscented Kalman filter and Magnetic Angular Rate Update (MARU) for an improved Pedestrian Dead-Reckoning , 2012, Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.
[4] Eric Foxlin,et al. Pedestrian tracking with shoe-mounted inertial sensors , 2005, IEEE Computer Graphics and Applications.
[5] Shaghayegh Zihajehzadeh,et al. Experimental evaluation of regression model-based walking speed estimation using lower body-mounted IMU , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[6] Haiyong Luo,et al. Location Fingerprint Extraction for Magnetic Field Magnitude Based Indoor Positioning , 2016, J. Sensors.
[7] Alfonso Bahillo,et al. Step Length Estimation Methods Based on Inertial Sensors: A Review , 2018, IEEE Sensors Journal.
[8] Chan Gook Park,et al. MEMS Based Pedestrian Navigation System , 2005 .
[9] Paul D. Groves,et al. Context Determination for Adaptive Navigation using Multiple Sensors on a Smartphone , 2016 .
[10] Valérie Renaudin,et al. Comparison of misalignment estimation techniques between handheld device and walking directions , 2015, 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[11] Quentin Ladetto,et al. On foot navigation: continuous step calibration using both complementary recursive prediction and adaptive Kalman filtering , 2000 .
[12] Shaghayegh Zihajehzadeh,et al. Regression Model-Based Walking Speed Estimation Using Wrist-Worn Inertial Sensor , 2016, PloS one.
[13] Bjoern M. Eskofier,et al. Mobile Stride Length Estimation With Deep Convolutional Neural Networks , 2018, IEEE Journal of Biomedical and Health Informatics.
[14] W. Burgard,et al. Markov Localization for Mobile Robots in Dynamic Environments , 1999, J. Artif. Intell. Res..
[15] Haiyong Luo,et al. Light positioning: A high-accuracy visible light indoor positioning system based on attitude identification and propagation model , 2018, Int. J. Distributed Sens. Networks.
[16] H. Weinberg. Using the ADXL202 in Pedometer and Personal Navigation Applications , 2002 .
[17] Takeshi Kurata,et al. A wearable augmented reality system with personal positioning based on walking locomotion analysis , 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..
[18] Xiaoji Niu,et al. Robust Pedestrian Dead Reckoning Based on MEMS-IMU for Smartphones , 2018, Sensors.
[19] N. Lovell,et al. Quaternion-Based Complementary Filter for Attitude Determination of a Smartphone , 2016, IEEE Sensors Journal.
[20] Antonio M. López,et al. Accelerometry-Based Distance Estimation for Ambulatory Human Motion Analysis , 2018, Sensors.
[21] Chris J. Bleakley,et al. Accurate Orientation Estimation Using AHRS under Conditions of Magnetic Distortion , 2014, Sensors.
[22] Simone Morosi,et al. Probabilistic Context-Aware Step Length Estimation for Pedestrian Dead Reckoning , 2017, IEEE Sensors Journal.
[23] Nai-Wei Lo,et al. An Indoor Positioning-Based Mobile Payment System Using Bluetooth Low Energy Technology , 2018, Sensors.
[24] Han Zou,et al. Exploiting cyclic features of walking for pedestrian dead reckoning with unconstrained smartphones , 2016, UbiComp.
[25] Haiyong Luo,et al. An Infrastructure-Free Indoor Localization Algorithm for Smartphones , 2018, Sensors.
[26] Doo Seop Eom,et al. Smartphone-Based Traveled Distance Estimation Using Individual Walking Patterns for Indoor Localization , 2018, Sensors.
[27] Yutaka Arakawa,et al. 10ns High-speed PLZT optical content distribution system having slot-switch and GMPLS controller , 2008, IEICE Electron. Express.
[28] Estefania Munoz Diaz,et al. Step detector and step length estimator for an inertial pocket navigation system , 2014, 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[29] Dong-Hwan Hwang,et al. A Step, Stride and Heading Determination for the Pedestrian Navigation System , 2004 .
[30] Christian Wietfeld,et al. Ultra-Wideband Antenna-Induced Error Prediction Using Deep Learning on Channel Response Data , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).
[31] Anshul Rai,et al. Zee: zero-effort crowdsourcing for indoor localization , 2012, Mobicom '12.
[32] Marcus Edel,et al. An advanced method for pedestrian dead reckoning using BLSTM-RNNs , 2015, 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[33] Hongwei Xie,et al. A Reliability-Augmented Particle Filter for Magnetic Fingerprinting Based Indoor Localization on Smartphone , 2016, IEEE Transactions on Mobile Computing.
[34] Fernando Seco Granja,et al. Accurate Pedestrian Indoor Navigation by Tightly Coupling Foot-Mounted IMU and RFID Measurements , 2012, IEEE Transactions on Instrumentation and Measurement.
[35] Kourosh Khoshelham,et al. Robust and Accurate Smartphone-Based Step Counting for Indoor Localization , 2017, IEEE Sensors Journal.
[36] Lucila Patino-Studencki,et al. Comparison and evaluation of acceleration based step length estimators for handheld devices , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.
[37] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[38] Cassim Ladha,et al. Instrumented gait assessment with a single wearable: an introductory tutorial , 2016 .
[39] Anshul Kumar,et al. Strap-down Pedestrian Dead-Reckoning system , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.
[40] Guobin Shen,et al. Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing , 2015, IEEE Journal on Selected Areas in Communications.
[41] Haiyong Luo,et al. An indoor self-localization algorithm using the calibration of the online magnetic fingerprints and indoor landmarks , 2016, 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[42] Peilin Liu,et al. An improved indoor localization method using smartphone inertial sensors , 2013, International Conference on Indoor Positioning and Indoor Navigation.
[43] Estefania Munoz Diaz. Inertial Pocket Navigation System: Unaided 3D Positioning , 2015, Sensors.
[44] Qingquan Li,et al. A Visual-Based Approach for Indoor Radio Map Construction Using Smartphones , 2017, Sensors.
[45] Gu-Min Jeong,et al. Step-Detection and Adaptive Step-Length Estimation for Pedestrian Dead-Reckoning at Various Walking Speeds Using a Smartphone , 2016, Sensors.
[46] S. Miyazaki,et al. Long-term unrestrained measurement of stride length and walking velocity utilizing a piezoelectric gyroscope , 1997, IEEE Transactions on Biomedical Engineering.
[47] Qian Song,et al. Foot-mounted Pedestrian Navigation based on Particle Filter with an Adaptive Weight Updating Strategy , 2014, Journal of Navigation.
[48] Hung-Huan Liu,et al. Implementation of Wi-Fi Signal Sampling on an Android Smartphone for Indoor Positioning Systems , 2017, Sensors.