Search Results for author:
Found 9 papers, 6 papers with code
Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition
Wireless signal-based gesture recognition has promoted the developments of VR game, smart home, etc.
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints
In this paper, we propose a novel deep learning framework for joint activity recognition and indoor localization task using WiFi Channel State Information~(CSI) fingerprints.
Temporal Unet: Sample Level Human Action Recognition using WiFi
In this task, every WiFi distortion sample in the whole series should be categorized into one action, which is a critical technique in precise action localization, continuous action segmentation, and real-time action recognition.
Joint Activity Recognition and Indoor Localization
The key rationale behind this type of work is that people behaviors can influence the WiFi signal propagation and introduce specific patterns into WiFi signals, called WiFi fingerprints, which further can be explored to identify human activities and locations.
Human-Computer Interaction
Can WiFi Estimate Person Pose?
In this paper We try to answer this question by exploring the ability of WiFi on estimating single person pose.
Person-in-WiFi: Fine-grained Person Perception using WiFi
Fine-grained person perception such as body segmentation and pose estimation has been achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (e. g., RF-Pose) and LiDARs.
Continuous User Authentication by Contactless Wireless Sensing
This paper presents BodyPIN, which is a continuous user authentication system by contactless wireless sensing using commodity Wi-Fi.
CSI-Net: Unified Human Body Characterization and Pose Recognition
We build CSI-Net, a unified Deep Neural Network~(DNN), to learn the representation of WiFi signals.
WiPIN: Operation-free Passive Person Identification Using Wi-Fi Signals
Wi-Fi signals-based person identification attracts increasing attention in the booming Internet-of-Things era mainly due to its pervasiveness and passiveness.
