Accurate Contact-Free Material Recognition with Millimeter Wave and Machine Learning

[1]  Kaishun Wu,et al.  Lili: liquor quality monitoring based on light signals , 2021, MobiCom.

[2]  Abdullah Al-Mamun Bulbul,et al.  Alcohol sensing and classification using PCF-based sensor , 2020 .

[3]  Jeffrey A. Nanzer,et al.  Microwave and Millimeter-Wave Remote Sensing for Security Applications , 2020 .

[4]  Haijian Sun,et al.  Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach , 2020, IEEE Access.

[5]  Chris Xiaoxuan Lu,et al.  See through smoke: robust indoor mapping with low-cost mmWave radar , 2019, MobiSys.

[6]  Siyang Cao,et al.  Extending Reliability of mmWave Radar Tracking and Detection via Fusion With Camera , 2019, IEEE Access.

[7]  Dingyi Fang,et al.  WiMi: Target Material Identification with Commodity Wi-Fi Devices , 2019, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).

[8]  Parth H. Pathak,et al.  On the feasibility of estimating soluble sugar content using millimeter-wave , 2019, IoTDI.

[9]  Muhammet Emin Yanik,et al.  Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data , 2019, IEEE Access.

[10]  Antonio Torralba,et al.  RF-based 3D skeletons , 2018, SIGCOMM.

[11]  Jan Barowski,et al.  Millimeter-Wave Characterization of Dielectric Materials Using Calibrated FMCW Transceivers , 2018, IEEE Transactions on Microwave Theory and Techniques.

[12]  Romit Roy Choudhury,et al.  LiquID: A Wireless Liquid IDentifier , 2018, MobiSys.

[13]  L. Wernersson,et al.  Reflection of Coherent Millimeter-Wave Wavelets on Dispersive Materials: A Study on Porcine Skin , 2018, IEEE Transactions on Microwave Theory and Techniques.

[14]  Zheng Yang,et al.  A Platform for Free-Weight Exercise Monitoring with Passive Tags , 2017, IEEE Transactions on Mobile Computing.

[15]  Ju Wang,et al.  TagScan: Simultaneous Target Imaging and Material Identification with Commodity RFID Devices , 2017, MobiCom.

[16]  David Erickson,et al.  Nutrilyzer: A Mobile System for Characterizing Liquid Food with Photoacoustic Effect , 2016, SenSys.

[17]  Joko Suryana,et al.  Implementation of mechanical scanning and signal processing for FMCW radar , 2016, 2016 International Symposium on Electronics and Smart Devices (ISESD).

[18]  Patrick Schrempf,et al.  RadarCat: Radar Categorization for Input & Interaction , 2016, UIST.

[19]  Piergiorgio Nicolosi,et al.  Waste processing: new near infrared technologies for material identification and selection , 2016 .

[20]  Ben Y. Zhao,et al.  Reusing 60GHz Radios for Mobile Radar Imaging , 2015, MobiCom.

[21]  M. Gustafsson,et al.  Time-Domain System for Millimeter-Wave Material Characterization , 2015, IEEE Transactions on Microwave Theory and Techniques.

[22]  Scott Sorensen,et al.  Material classification with thermal imagery , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Fadel Adib,et al.  Multi-Person Localization via RF Body Reflections , 2015, NSDI.

[24]  Amilton Sinatora,et al.  3D surface parameters (ISO 25178-2): Actual meaning of Spk and its relationship to Vmp , 2015 .

[25]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[26]  M. Manley.  Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials. , 2014, Chemical Society reviews.

[27]  E. Smidt,et al.  Ageing and Deterioration of Materials in the Environment – Application of Multivariate Data Analysis , 2013 .

[28]  Demetris Stathakis,et al.  How many hidden layers and nodes? , 2009 .

[29]  Chris Harrison,et al.  Lightweight material detection for placement-aware mobile computing , 2008, UIST '08.

[30]  Chih-Jen Lin,et al.  Probability Estimates for Multi-class Classification by Pairwise Coupling , 2003, J. Mach. Learn. Res..

[31]  Christopher L. Holloway,et al.  Analysis of composite walls and their effects on short-path propagation modeling , 1997 .