Towards Accurate and Lightweight Masked Face Recognition: An Experimental Evaluation

Martínez-Díaz, Yoanna; Méndez-Vázquez, Heydi; Luevano, Luis S.; Nicolás-Díaz, Miguel; Chang, Leonardo; González-Mendoza, Miguel

doi:10.1109/access.2021.3135255

Cited by 22 publications

(19 citation statements)

References 40 publications

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“…Face retrieval or recognition is essential in computer vision and e-learning environments as well [ 25 ]. Lin et al [ 21 ] proposed a cloud-based face video retrieval system with deep learning.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of e-learners’ concentration using recurrent neural networks

Jeong

Cho

2022

J Supercomput

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Recently, interest in e-learning has increased rapidly owing to the lockdowns imposed by COVID-19. A major disadvantage of e-learning is the difficulty in maintaining concentration because of the limited interaction between teachers and students. The objective of this paper is to develop a methodology to predict e-learners’ concentration by applying recurrent neural network models to eye gaze and facial landmark data extracted from e-learners’ video data. One hundred eighty-four video data of ninety-two e-learners were obtained, and their frame data were extracted using the OpenFace 2.0 toolkit. Recurrent neural networks, long short-term memory, and gated recurrent units were utilized to predict the concentration of e-learners. A set of comparative experiments was conducted. As a result, gated recurrent units exhibited the best performance. The main contribution of this paper is to present a methodology to predict e-learners’ concentration in a natural e-learning environment.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of e-learners’ concentration using recurrent neural networks

Jeong

Cho

2022

J Supercomput

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“…[29]- [32], [51], [53], [54], [64]- [72], [127] Monitoring [12], [24], [27], [33]- [35], [52], [73]- [88], [90], [92]- [97], [129]- [132] PARAMETERS ARTÍCLES Political [13], [98] Predictive [14]- [17], [19], [25], [26], [37]- [41], [60], [61], [63],…”

Section: Estrangementmentioning

confidence: 99%

“…[14]- [17], [19], [25], [26], [37]- [41], [60], [61], [63], [99]- [102], [104]- [109], [128], [133] These articles take into account the prevention parameter since they postulate measures, with the help of technological tools and Artificial Intelligence focusing on events that have already occurred, against Covid-19 to reduce contagion or a new outbreak. [11], [20]- [22], [28], [42]- [47], [56]- [58], [110]- [122], [134] These articles take into account the traceability parameter since they are based on following people or societies that have already suffered from Covid-1toto collect data and avoid possible Covid-19 infections.…”

Section: Estrangementmentioning

confidence: 99%

“…Availability and functionality [12], [25], [30], [31], [34], [35], [38], [48], [56], [63], [69], [74], [77], [79], [82], [88], [92], [105], [112], [115], [117], [120], [128], [133], [136] Availability, functionality, and reliability [24], [40], [66], [73], [80], [87], [100], [114] Availability, functionality, and performance [11], [16], [29], [46], [62], [86], [110] Availability, functionality, and security [37], [44], [58], [64], [95], [122], [137] Functionality [14], [15],…”

Section: Quality Attributes Artíclesmentioning

confidence: 99%

See 1 more Smart Citation

Mobile Applications for the Implementation of Health Control against Covid-19 in Educational Centers, a Systematic Review of the Literature

Quispe-Lavalle¹,

Sierra-Liñan²,

Cabanillas-Carbonell³

2022

IJACSA

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A health crisis caused by the SARS-CoV-2 virus is still ongoing. That is why an important factor for the resumption of on-site classes is the creation of sanitary measures to help control Covid-19. The present research is a literature review, The PRISMA methodology is used and 265 articles are collected from various databases such as EBSCO Host, IEEE Xplore, SAGE, ScienceDirect, and Scopus. According to the inclusion and exclusion criteria, the most relevant articles aligned to the topic were identified, systematizing 119 articles. Showcasing digital technologies used in mobile applications that allow better control, tracking, and monitoring of the health status of students, teachers, and staff of educational centers, in addition to the parameters and quality attributes that must be taken into account for the effective sanitary control of the disease, finally, a development model is proposed.

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“…The periocular region, with dense and complex properties, is one of the most discriminating features found on the face, among other facial features, e.g., forehead, cheek, mouth, and jaw [6]. The other benefits of periocular regions are that they do not require intricate acquisition processes like the ocular region (iris, retinal and conjunctival vasculature) needs [7]. They also can be used to help with disease detection [8].…”

Section: Introductionmentioning

confidence: 99%

Curvature Best Basis: A Novel Criterion to Dynamically Select a Single Best Basis as the Extracted Feature for Periocular Recognition

et al. 2022

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Aiming at the problems in the best basis selection, this paper presents a novel criterion based on the statistical measurement of the curvature wavelet coefficient to dynamically select the single best basis of the quad-tree wavelet packet transformation. The selected single best basis works as an extracted feature for biometric periocular recognition system. The proposed method first extracts the mean curvature of wavelet coefficients inside the quad-tree wavelet packet transform. Second, the method finds the most distinctive features based on the largest standard deviation and dynamically selects the extracted curvature wavelet coefficients as the single best basis. Third, the selected single curvature best basis works as an extracted feature, and then it is combined with the histogram of oriented gradients method. Finally, the support vector machine is employed to perform classification. Two datasets of two-dimensional periocular digital images are tested against the proposed method. To show the extended ability, we analyze the curvature best basis method against wavelet functions and characteristics and test the proposed method against the plain face and masked face recognition. The proposed method achieves the highest performance results inside periocular recognition (97.53% accuracy for UBIPr-1 and 97.77% accuracy for EYB-P1), masked face recognition (98.11% accuracy), and plain face recognition (98.26% accuracy). The proposed method is robust against glasses occlusion, artificial geometry transformations, Gaussian and salt pepper noise. Comparison with other works in a similar recognition system shows that our proposed curvature best basis method yields the highest performance results.INDEX TERMS Best basis, curvature, periocular recognition, wavelet packet transform.

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Towards Accurate and Lightweight Masked Face Recognition: An Experimental Evaluation

Cited by 22 publications

References 40 publications

Evaluation of e-learners’ concentration using recurrent neural networks

Evaluation of e-learners’ concentration using recurrent neural networks

Mobile Applications for the Implementation of Health Control against Covid-19 in Educational Centers, a Systematic Review of the Literature

Curvature Best Basis: A Novel Criterion to Dynamically Select a Single Best Basis as the Extracted Feature for Periocular Recognition

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