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Article
Computer Science, Hardware & Architecture
Asrar Bajaber et al.
Summary: The touch gesture biometrics authentication system utilizes deep learning to automatically discover useful features of touch gestures for user authentication, achieving good results compared to other state-of-the-art methods using the TouchAlytics dataset.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2022)
Article
Biochemistry & Molecular Biology
Yiyi Yu et al.
Summary: This study used a data-driven approach to investigate the representations of complex visual stimuli by L2/3 neurons in the mouse visual cortex. The results showed higher fidelity representations of texture in LM area compared to AL area, and higher fidelity representations of motion in AL area compared to LM area. This segregation of information was also observed in response to naturalistic videos.
Article
Computer Science, Artificial Intelligence
Longxin Li et al.
Summary: In this article, a contrastive adversarial domain adaptation network (CADAN) is proposed to address the difficulty of finding domain-invariant space in a single feature extractor. By splitting the feature extractor into two branches, CADAN achieves class-dependence and domain-invariance simultaneously. Evaluation experiments demonstrate that CADAN outperforms conventional methods in terms of speaker identification accuracy.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Xu Han et al.
Summary: This study reveals the diversity and stereotyped tuning of neural representations in the dorsal and ventral areas of the mouse visual cortex, indicating the presence of parallel processing channels and streams. Furthermore, the study uncovers the specialization of different cortical areas for distinct perceptual features and spatial abilities.
NATURE COMMUNICATIONS
(2022)
Article
Neurosciences
Helen Wang et al.
Summary: The mouse visual system consists of various cortical areas specialized for different visual features and tasks. Previous studies mainly focused on the tuning preferences of superficial layer neurons, while fewer studies investigated the deep-layer neurons in these areas. In this study, the researchers used electrophysiology and calcium imaging to characterize the tuning properties of different layer 5 cell classes in these areas. They found that deep-layer neurons, similar to superficial layer neurons, are specialized for different spatial and temporal frequencies.
JOURNAL OF COMPARATIVE NEUROLOGY
(2022)
Article
Engineering, Electrical & Electronic
Yang Yang et al.
Summary: This article focuses on the problem of multiscenario open-set gait recognition (MSOGR) and presents a new open-set classifier that minimizes misclassification through supervised contrastive learning method for creating compact representation space and ensemble-based out-of-distribution detection module to alleviate misclassification at both pixel and semantic levels.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Xinyu Jiang et al.
Summary: This study focuses on using HD-sEMG signals as biometrics for personal identification, addressing the flaws of traditional biometrics such as noncancelability and cross-application invariance. By enrolling multiple accounts with different hand gestures as biometrics, users can easily cancel and change their biometric templates. The results show excellent performance and high accuracy of HD-sEMG in biometric identification.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Yi-Peng Liu et al.
Summary: This article proposes a Gaussian prior guided transformer for layer segmentation of OCT fingerprints, which achieves more accurate fingerprint layer segmentation and reconstruction by fusing features of different scales and introducing a spatial difference convolution module to solve the issue of imprecise segmentation caused by low contrast.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Review
Engineering, Electrical & Electronic
Borui Hou et al.
Summary: This article provides an overview of finger-vein-based biometric methods, including image acquisition, image preprocessing, feature extraction, and matching. It introduces template-based, representation-based, and learning-based methods, as well as deep-learning-based methods. The effectiveness of these methods is verified through case studies and the challenges and prospects of finger-vein recognition research, particularly 3-D finger-vein recognition research, are discussed to guide future research direction in this field.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Theory & Methods
Jiajia Jiang et al.
Summary: This paper presents an enhanced approach for dynamic time warping (DTW) by incorporating deep learning techniques in dynamic signature verification. The proposed method utilizes a convolutional recurrent adaptive network (CRAN) to process dynamic signatures and incorporates soft-DTW distances into the loss function for optimization. Experimental results show that the method achieves state-of-the-art performance on several benchmarks and wins first place in the ICDAR 2021 competition for online signature verification.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Article
Engineering, Electrical & Electronic
Qingqing Li et al.
Summary: This article investigates the use of multichannel sEMG signals of hand gestures for user authentication. A new deep anomaly detection-based method is proposed, which employs sEMG images generated from multichannel sEMG signals. Among different sEMG image generation methods, the root mean square (rms) map achieves the best performance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Automation & Control Systems
Xinyu Jiang et al.
Summary: This article introduces a novel user authentication method based on neuromuscular passwords, using isometric contraction of finger muscles and neuromuscular biometrics for password entry and authentication. The proposed method demonstrates high accuracy in preventing incorrect inputs and impostors.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Chengfang Luo et al.
Summary: This paper improves the discriminative power of speaker embedding by introducing NeXtVLAD, designing a multi-scale aggregation strategy, and proposing a mutually complementary assembling loss function. Extensive experiments on the VoxCeleb-I dataset show significant performance improvements compared with the baseline, achieving new state-of-the-art results.
2021 INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Wenwei Song et al.
Summary: Hand gesture authentication is a new emerging biometric trait with great potential value. Current methods have limitations, whereas a simpler and faster dynamic random hand gesture authentication method is proposed and validated through experiments.
2021 INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Weili Yang et al.
Summary: This study developed a novel multi-view, multi-spectral 3D finger imaging system and successfully reconstructed 3D finger models with skin and vein textures. A large-scale Finger Multi-Biometric database with 695 fingers and 6,950 3D finger models was established, along with a more rigorous evaluation protocol.
2021 INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB 2021)
(2021)
Article
Engineering, Electrical & Electronic
Jiawei Chen et al.
Summary: Metric learning aims to learn a mapping relationship to reduce intraclass distance and increase interclass distance. The proposed weakly supervised compositional metric learning method effectively optimizes weight combination and verification accuracy.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Huikai Shao et al.
Summary: The article introduces a novel meta-Siamese network for small-sample palmprint recognition, which learns feature embedding and deep similarity metric function through episodic training and introduces two distance-based losses for optimization. Experimental results show that the method has competitive advantages in palmprint recognition, with the highest accuracy reaching 100%.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Yongfeng Dong et al.
Summary: A low-cost and efficient data glove and a novel dynamic hand gesture recognition algorithm were proposed in this study, utilizing a fusion model of convolutional neural network and generic temporal convolutional network. Extensive experiments demonstrated that the proposed algorithm outperforms many state-of-the-art algorithms on various measures.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Theory & Methods
Chang Liu et al.
Summary: This article introduces a new large-scale dataset SCUT-DHGA for dynamic-hand-gesture authentication, containing 29,160 dynamic-hand-gesture video sequences and over 1.86 million frames. Two separate sessions' data were acquired to investigate the variation of user gestures over time and evaluate the performance of the dynamic-hand-gesture authentication system.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
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Chao Shen et al.
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Alex Ming Hui Wong et al.
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Computer Science, Information Systems
Haipeng Wang et al.
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Computer Science, Artificial Intelligence
Heng Liu et al.
PATTERN RECOGNITION LETTERS
(2019)
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Limin Wang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Chang Liu et al.
BIOMETRIC RECOGNITION (CCBR 2019)
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Can Zhang et al.
PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)
(2019)
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Feng Wang et al.
IEEE SIGNAL PROCESSING LETTERS
(2018)
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Xuan Wang et al.
Proceedings Paper
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Satoru Imura et al.
HUMAN-COMPUTER INTERACTION: THEORIES, METHODS, AND HUMAN ISSUES, HCI INTERNATIONAL 2018, PT I
(2018)
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Joao Carreira et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017)
(2017)
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Alex Ming Hui Wong et al.
SCIENTIFIC PROGRAMMING
(2016)
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SECURITY AND COMMUNICATION NETWORKS
(2016)
Proceedings Paper
Computer Science, Artificial Intelligence
Jonathan Wu et al.
PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016)
(2016)
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Napa Sae-Bae et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2014)
Proceedings Paper
Computer Science, Hardware & Architecture
Md Tanvir Islam Aumi et al.
PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI'14)
(2014)
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James H. Marshel et al.
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J Han et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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