Published Papers by PicoScenes Users
- Viktor Erdélyi, Kazuki Miyao, Akira Uchiyama, Tomoki Murakami, “Poster: Activity Recognition Using CSI Backscatter with Commodity Wi-Fi”, 2024, MobiSys.
- Hao Yin, Murali Ramanujam, Joe Schaefer, Stan Adermann, Srihari Narlanka, Perry Lea, Ravi Netravali, Krishna Chintalapudi, “ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices”, 2024 NSDI.
- N.Ikuo, “CSI2PC: 3D Point Cloud Reconstruction Using CSI”, 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC).
- C.-H.Lee, H.Choi, Y.Arakawa, D.-H.Kim, J.-D.Kim, “Bilatangulation: A Novel Measurement Error Compensation Method for Wi-Fi Indoor Positioning with Two Anchors”, 2024 IEEE Access.
- T.-W.Hsu and H.-Y.Hsieh, “Robust Multi-User Pose Estimation Based on Spatial and Temporal Features from WiFi CSI”, ICC 2024 - IEEE International Conference on Communications.
- V.V.Ratnam, “WiDRa: Enabling Millimeter-Level Differential Ranging Accuracy in Wi-Fi Using Carrier Phase”, 2024 in IEEE Journal on Selected Areas in Communications.
- L.Zhang, “Toward Robust and Effective Behavior Based User Authentication With Off-the-shelf Wi-Fi”, 2024 IEEE Transactions on Information Forensics and Security.
- Xin Na, Xiuzhen Guo, Zihao Yu, Jia Zhang, Yuan He, Yunhao Liu, “Leggiero: Analog WiFi Backscatter with Payload Transparency”, 2023 MobiSys.
- Pengming Hu, Weidong Yang, Xuyu Wang, Shiwen Mao, Erbo Shen, “WiWm-EP: Wi-Fi CSI-based Wheat Moisture Detection Using Equivalent Permittivity”, IEEE INFOCOM 2023.
- Xinyue Fang, Jianwei Liu, Yike Chen, Jinsong Han, Kui Ren, Gang Chen, “Nowhere to Hide: Detecting Live Video Forgery via Vision-WiFi Silhouette Correspondence”, IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 2023.
- Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Philip Williams, Arkady Zaslavsky, Seng W. Loke, Jinho Choi, “Deakin RF-Sensing: Experiments on Correlated Knowledge Distillation for Monitoring Human Postures With Radios”, IEEE Sensors Journal, 2023.
- Viktor Erdélyi, Kazuki Miyao, Akira Uchiyama, Tomoki Murakami, “Towards Activity Recognition Using Wi-Fi CSI from Backscatter Tags”, 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
- Wenli Jiao, Ju Wang, Yelu He, Xiangdong Xi, Fuwei Wang, “SoilTAG: Fine-Grained Soil Moisture Sensing Through Chipless Tags”, 2023 IEEE Transactions on Mobile Computing (Early Access).
- Guoxuan Chi, Zheng Yang, Jingao Xu, Chenshu Wu, Jialin Zhang, Jianzhe Liang, Yunhao Liu, “Wi-drone: wi-fi-based 6-DoF tracking for indoor drone flight control”, 2022 MobiSys.
- Pengming Hu, Weidong Yang, Xuyu Wang, Shiwen Mao, Chao Niu, “WiPd: Contactless Water-Injected Pork Detection Using Commodity WiFi Devices”, 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS).
- Ruilin Wang, Xiaolin Zhou, Bo Wang, Zhi Zheng, Yongxin Guo, “A Subcarrier Selection Method for Wi-Fi-based Respiration Monitoring using IEEE 802.11ac/ax Protocols”, 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC).
- Jie Zhang, Zhongmin Wang, Kexin Zhou, Ruohan Bai, “A Novel Drinking Category Detection Method Based on Wireless Signals and Artificial Neural Network”, Entropy, 2022.
- Xiaoyu Ma, Wei Xi, Zuhao Chen, Han Hao, Jizhong Zhao, “ECC: Passenger Counting in the Elevator Using Commodity WiFi”, Applied Sciences, 2022.
- Qing Yang, Tianzhang Xing, Zhiping Jiang, Junfeng Wang, Jingyi He, “WiRD: Real-Time and Cross Domain Detection System on Edge Device”, Algorithms and Architectures for Parallel Processing, 2022.
- Xiaoyu Ma, Hui He, Hui Zhang, Wei Xi, Zuhao Chen, Jizhong Zhao, “Measuring and Modeling Multipath of Wi-Fi to Locate People in Indoor Environments”, 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS).
Affiliations using PicoScenes
The following grid lists the affiliations that use PicoScenes platform in their latest research.
China Mainland Users
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Global Users
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Note: 1. All affiliations listed above are identified from the collected software usage data. Data collection is expressly stated in the PicoScenes Software End User License Agreement.2. The list of affiliations is updated periodically and may not reflect real-time changes.