Application of Deep Convolutional Neural Networks and Smartphone Sensors for Indoor Localization

[1]  Syoji Kobashi,et al.  Advancements of Image Processing and Vision in Healthcare , 2018, Journal of healthcare engineering.

[2]  Fei Gu,et al.  WAIPO: A Fusion-Based Collaborative Indoor Localization System on Smartphones , 2017, IEEE/ACM Transactions on Networking.

[3]  Lin Sun,et al.  Multifloor Wi-Fi Localization System with Floor Identification , 2015, Int. J. Distributed Sens. Networks.

[4]  Shaharyar Kamal,et al.  A Hybrid Feature Extraction Approach for Human Detection, Tracking and Activity Recognition Using Depth Sensors , 2016 .

[5]  Yongwan Park,et al.  MagIO: Magnetic Field Strength Based Indoor- Outdoor Detection with a Commercial Smartphone , 2018, Micromachines.

[6]  Guobin Shen,et al.  Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing , 2015, IEEE Journal on Selected Areas in Communications.

[7]  Yongwan Park,et al.  Floor Identification Using Magnetic Field Data with Smartphone Sensors , 2019, Sensors.

[8]  Kin K. Leung,et al.  A Survey of Indoor Localization Systems and Technologies , 2017, IEEE Communications Surveys & Tutorials.

[9]  Shiwen Mao,et al.  CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach , 2016, IEEE Transactions on Vehicular Technology.

[10]  Yongwan Park,et al.  BLocate: A Building Identification Scheme in GPS Denied Environments Using Smartphone Sensors , 2018, Sensors.

[11]  Bolei Zhou,et al.  Places: A 10 Million Image Database for Scene Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Daijin Kim,et al.  A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments , 2014, Sensors.

[13]  Ruizhi Chen,et al.  Scene Recognition for Indoor Localization Using a Multi-Sensor Fusion Approach , 2017, Sensors.

[14]  Ding-Bing Lin,et al.  Hybrid Indoor Human Localization System for Addressing the Issue of RSS Variation in Fingerprinting , 2015, Int. J. Distributed Sens. Networks.

[15]  Daijin Kim,et al.  Depth Images-based Human Detection, Tracking and Activity Recognition Using Spatiotemporal Features and Modified HMM , 2016 .

[16]  Tae-Seong Kim,et al.  Human Activity Recognition via Recognized Body Parts of Human Depth Silhouettes for Residents Monitoring Services at Smart Home , 2013 .

[17]  Yanan Zhu,et al.  A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy , 2016, BMC Bioinformatics.

[18]  Jianxin Wu,et al.  GROPING: Geomagnetism and cROwdsensing Powered Indoor NaviGation , 2015, IEEE Transactions on Mobile Computing.

[19]  Xiaoqiang Lu,et al.  Scene Recognition by Manifold Regularized Deep Learning Architecture , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[20]  Ram Dantu,et al.  LocateMe , 2013, ACM Trans. Intell. Syst. Technol..

[21]  Qi Han,et al.  Improving Wi-Fi Indoor Positioning via AP Sets Similarity and Semi-Supervised Affinity Propagation Clustering , 2015, Int. J. Distributed Sens. Networks.

[22]  Shengsheng Yu,et al.  Improvement Schemes for Indoor Mobile Location Estimation: A Survey , 2015 .

[23]  Thomas Mensink,et al.  Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.

[24]  Laurent Itti,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Rapid Biologically-inspired Scene Classification Using Features Shared with Visual Attention , 2022 .

[25]  Daijin Kim,et al.  Robust human activity recognition from depth video using spatiotemporal multi-fused features , 2017, Pattern Recognit..

[26]  Tae-Seong Kim,et al.  Recognition of Human Home Activities via Depth Silhouettes and ℜ Transformation for Smart Homes , 2012 .

[27]  Yongwan Park,et al.  mPILOT-Magnetic Field Strength Based Pedestrian Indoor Localization , 2018, Sensors.

[28]  Imran Ashraf,et al.  GUIDE: Smartphone sensors‐based pedestrian indoor localization with heterogeneous devices , 2019, Int. J. Commun. Syst..