User Identification System Using 2D Resized Spectrogram Features of ECG
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2902870
Abstract: Studies have been actively conducted on biometrics technology applying electrocardiogram (ECG) signals, which are more robust against forgeries and alterations than fingerprint and face authentication. The ECG lead-I signals measured using ECG acquisition devices consist… read more here.
Keywords: system; spectrogram; identification system; step ... See more keywords
Let IoT Know You Better: User Identification and Emotion Recognition Through Millimeter-Wave Sensing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3204779
Abstract: Emotion recognition, particularly contactless recognition via wireless sensing, has shown its promise in diverse applications. However, the previous works only focus on emotions rather than the person, i.e., the premise is already knowing who the… read more here.
Keywords: recognition; user identification; emotion; identification emotion ... See more keywords
WiWalk: Gait-Based Dual-User Identification Using WiFi Device
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3222204
Abstract: The rapid development of the Internet of Things (IoT) boosts the spread of intelligent spaces. Biometrics-based user identification has gained great popularity recently, among which gait analysis offers a stable, user-friendly, and economical solution. Thanks… read more here.
Keywords: user identification; using wifi; identification; gait based ... See more keywords
Pervasive Indoor User Identification Leveraging Mobile Single-Station Localization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3528447
Abstract: The utilization of Wi-Fi-based technology for pervasive indoor user identification has gained prominence due to its cost-effective nature and compatibility with user devices. Previous works proposed capturing the media access control (MAC) address emitted from… read more here.
Keywords: station; user identification; mobile single; pervasive indoor ... See more keywords
Cross Validation Aided Approximated Message Passing Algorithm for User Identification in mMTC
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3064025
Abstract: Recently, the approximate message passing (AMP) algorithm is advocated for overcoming the active user identification challenge in grant free (GF) massive random access (RA). However, requiring the perfect knowledge of user sparsity is a quite… read more here.
Keywords: amp algorithm; message passing; amp; user identification ... See more keywords
FDHFUI: Fusing Deep Representation and Hand-Crafted Features for User Identification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3355757
Abstract: User identification across multiple social networks is an important task for cross-social network recommendation, network security, and other related fields. Usernames belonging to the same individual are rich in information that is valuable for user… read more here.
Keywords: user identification; crafted features; hand crafted; features usernames ... See more keywords
A Binary-Search-Based Locality-Sensitive Hashing Method for Cross-Site User Identification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2022.3158664
Abstract: In recent years, we have witnessed increasing attention paid to the problem of cross-site user identification (CSUI) with the bloom of social media. Despite noticeable progress in this field, the problem of enormous computation posed… read more here.
Keywords: user identification; binary search; cross site; site user ... See more keywords
Real-Time Cross-Domain Gesture and User Identification via COTS WiFi
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3532295
Abstract: WiFi-based gesture recognition has emerged as a promising alternative to computer vision, enabling seamless integration and enhanced interaction in human-computer interaction systems. Simultaneously identifying users during gesture recognition is vital for improving security and personalization.… read more here.
Keywords: time; recognition; user identification; cross domain ... See more keywords
Through-Wall Cross-Domain User Identification via Lip Movement Micro-Doppler and MIMO Radar: an Unsupervised Domain Adaptation Approach
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3607413
Abstract: Lip movement-based user identification holds significant promise for public security and intelligent surveillance due to its dynamic patterns, forgery resistance, and individual distinctiveness. Recently, millimeter-wave radar has been employed for contactless identification, offering advantages such… read more here.
Keywords: user identification; radar; identification; lip movement ... See more keywords
User Identification Across Multiple Social Networks Based on Naive Bayes Model.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3202709
Abstract: Recently, the problem of user identification across multiple social networks (UIAMSNs) has attracted considerable attention since it is a prerequisite for many downstream tasks and applications. Although substantial network feature-based approaches have been proposed to… read more here.
Keywords: user identification; bayes model; identification across; based naive ... See more keywords
Channel Estimation and User Identification With Deep Learning for Massive Machine-Type Communications
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3111081
Abstract: In this paper, we investigate the detection problem for a massive machine-type communication (mMTC) system that has correlated user activities. Two deep learning assisted algorithms are proposed to exploit the user activity correlation to facilitate… read more here.
Keywords: massive machine; identification; algorithm; user identification ... See more keywords