RadSee: See Your Handwriting Through Walls Using FMCW Radar
Shichen Zhang, Qijun Wang, Maolin Gan, Zhichao Cao, Huacheng Zeng
摘要
—This paper aims to design and implement a radio device capable of detecting a person’s handwriting through a wall. Although there is extensive research on radio frequency (RF) based human activity recognition, this task is particularly challenging due to the through-wall requirement and the tiny-scale handwriting movements. To address these challenges, we present RadSee—a 6 GHz frequency modulated continuous wave (FMCW) radar system designed for detecting handwriting content behind a wall. RadSee is realized through a joint hardware and software design. On the hardware side, RadSee features a 6 GHz FMCW radar device equipped with two custom-designed, high-gain patch antennas. These two antennas provide a sufficient link power budget, allowing RadSee to “see” through most walls with a small transmission power. On the software side, RadSee extracts effective phase features corresponding to the writer’s hand movements and employs a bidirectional LSTM (BiLSTM) model with an attention mechanism to classify handwriting letters. As a result, RadSee can detect millimeter-level handwriting movements and recognize most letters based on their unique phase patterns. Additionally, it is resilient to interference from other moving objects and in-band radio devices. We have built a prototype of RadSee and evaluated its performance in various scenarios. Extensive experimental results demonstrate that RadSee achieves 75% letter recognition accuracy when victims write 62 random letters, and 87% word recognition accuracy when they write articles.
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引用它的顶会 Paper4
- A Batteryless Wireless Microphone Using RF BackscatterQijun Wang, Chunqi Qian, Peihao Yan, Shichen Zhang 等UbiComp 2026 · 被引用 4 次
- GeoFL: A Framework for Efficient Geo-Distributed Cross-Device Federated LearningMaolin Gan, Lanpeng Li, Samiul Alam, Li Liu 等INFOCOM 2025 · 被引用 2 次
- RadEar: A Self-Supervised RF Backscatter System for Voice Eavesdropping and SeparationQijun Wang, Peihao Yan, Chunqi Qian, Huacheng ZengINFOCOM 2026 · 被引用 2 次
- RadKey: An LLM-Guided RF Backscatter System for Through-Wall Keystroke InferenceQijun Wang, Chunqi Qian, Huacheng ZengS&P 2026 · 被引用 2 次
它引用的顶会 Paper12
- Towards 3D human pose construction using wifiWenjun Jiang, Hongfei Xue, Chenglin Miao, Shiyang Wang 等MobiCom 2020 · 被引用 282 次
- Person-in-WiFi: Fine-Grained Person Perception Using WiFiFei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han 等ICCV 2019 · 被引用 199 次
- Contactless seismocardiography via deep learning radarsUnsoo Ha, Salah Assana, Fadel AdibMobiCom 2020 · 被引用 198 次
- Through-Wall Human Mesh Recovery Using Radio SignalsMingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao 等ICCV 2019 · 被引用 127 次
- Making the Invisible Visible: Action Recognition Through Walls and OcclusionsTianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu 等ICCV 2019 · 被引用 126 次
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