[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhang et al., 2021 - Google Patents

Cross-domain gesture recognition via learning spatiotemporal features in Wi-Fi sensing

Zhang et al., 2021

Document ID
17123569887595223364
Author
Zhang R
Zhou J
Wu S
Jing X
Publication year
Publication venue
2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

External Links

Snippet

Gesture recognition has enabled IoT applications such as human-computer interaction and virtual reality. In this work, we propose a cross-domain device-free gesture recognition (DFGR) model, that exploits 3D-CNN to obtain spatiotemporal features in Wi-Fi sensing. To …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor

Similar Documents

Publication Publication Date Title
Liu et al. Real-time arm gesture recognition in smart home scenarios via millimeter wave sensing
Dang et al. Sensor-based and vision-based human activity recognition: A comprehensive survey
Yu et al. Noninvasive human activity recognition using millimeter-wave radar
Zhang et al. Wi-Fi sensing for joint gesture recognition and human identification from few samples in human-computer interaction
Li et al. Towards domain-independent and real-time gesture recognition using mmwave signal
Zhang et al. WiFi-based cross-domain gesture recognition via modified prototypical networks
Leon et al. Video hand gestures recognition using depth camera and lightweight cnn
Bhalla et al. Imu2doppler: Cross-modal domain adaptation for doppler-based activity recognition using imu data
Pham et al. Learning to recognise 3D human action from a new skeleton‐based representation using deep convolutional neural networks
Zhang et al. Human activity recognition across scenes and categories based on CSI
Fang et al. Dynamic gesture recognition using inertial sensors-based data gloves
Yu et al. A radar-based human activity recognition using a novel 3-D point cloud classifier
Zhang et al. Cross-domain gesture recognition via learning spatiotemporal features in Wi-Fi sensing
Kabir et al. CSI-IANet: An inception attention network for human-human interaction recognition based on CSI signal
Xie et al. RPM: RF-based pose machines
CN113822350A (en) Equipment-free personnel action identification and position estimation method based on multi-task learning
Feng et al. DAMUN: A domain adaptive human activity recognition network based on multimodal feature fusion
CN116524595A (en) Millimeter wave radar human body posture recognition method based on federal learning
Zhang et al. Deformable deep convolutional generative adversarial network in microwave based hand gesture recognition system
Zheng et al. Through-Wall Human Pose Estimation by Mutual Information Maximizing Deeply-Supervised Nets
Chiu et al. Design and Implementation of Nursing-Secure-Care System with mmWave Radar by YOLO-v4 Computing Methods
Tian et al. Small CSI Samples‐Based Activity Recognition: A Deep Learning Approach Using Multidimensional Features
Zheng et al. Unsupervised human contour extraction from through-wall radar images using dual UNet
Wu et al. Device-free human activity recognition with identity-based transfer mechanism
Xie et al. Gesture Recognition Via Learning Deep Spatio-Temporal Features In Wi-Fi Sensing