scholarly journals Improving Juvenile Age Estimation Based on Facial Landmark Points and Gravity Moment

2020 ◽  
Vol 10 (18) ◽  
pp. 6227
Author(s):  
Ebenezer Nii Ayi Hammond ◽  
Shijie Zhou ◽  
Hongrong Cheng ◽  
Qihe Liu
Keyword(s):  
Age Estimation ◽  
Real Life ◽  
Research Network ◽  
Superior Performance ◽  
Detection Scheme ◽  
Facial Landmark ◽  
Juvenile Age ◽  
Facial Shape ◽  
The Face ◽  
Reference Matrix

Facial age estimation is of interest due to its potential to be applied in many real-life situations. However, recent age estimation efforts do not consider juveniles. Consequently, we introduce a juvenile age detection scheme called LaGMO, which focuses on the juvenile aging cues of facial shape and appearance. LaGMO is a combination of facial landmark points and Term Frequency Inverse Gravity Moment (TF-IGM). Inspired by the formation of words from morphemes, we obtained facial appearance features comprising facial shape and wrinkle texture and represented them as terms that described the age of the face. By leveraging the implicit ordinal relationship between the frequencies of the terms in the face, TF-IGM was used to compute the weights of the terms. From these weights, we built a matrix that corresponds to the possibilities of the face belonging to the age. Next, we reduced the reference matrix according to the juvenile age range (0–17 years) and avoided the exhaustive search through the entire training set. LaGMO detects the age by the projection of an unlabeled face image onto the reference matrix; the value of the projection depicts the higher probability of the image belonging to the age. With Mean Absolute Error (MAE) of 89% on the Face and Gesture Recognition Research Network (FG-NET) dataset, our proposal demonstrated superior performance in juvenile age estimation.

A Review of Different Techniques of Age Estimation from Human Face

2018 ◽  
Vol 4 (10) ◽  
pp. 6
Author(s):  
Khemchandra Patel ◽  
Dr. Kamlesh Namdev
Keyword(s):  
Age Estimation ◽  
Real Life ◽  
Extraction Methods ◽  
Human Face ◽  
Age Changes ◽  
Missing Children ◽  
Different Types ◽  
Age Variation ◽  
Human Faces ◽  
Facial Age

Age changes cause major variations in the appearance of human faces. Due to many lifestyle factors, it is difficult to precisely predict how individuals may look with advancing years or how they looked with "retreating" years. This paper is a review of age variation methods and techniques, which is useful to capture wanted fugitives, finding missing children, updating employee databases, enhance powerful visual effect in film, television, gaming field. Currently there are many different methods available for age variation. Each has their own advantages and purpose. Because of its real life applications, researchers have shown great interest in automatic facial age estimation. In this paper, different age variation methods with their prospects are reviewed. This paper highlights latest methodologies and feature extraction methods used by researchers to estimate age. Different types of classifiers used in this domain have also been discussed.

scholarly journals Formulating Modes of Cooperative Leaning for Education for Sustainable Development

2021 ◽  
Vol 13 (6) ◽  
pp. 3465
Author(s):  
Jordi Colomer ◽  
Dolors Cañabate ◽  
Brigita Stanikūnienė ◽  
Remigijus Bubnys
Keyword(s):  
Sustainable Development ◽  
Real Life ◽  
Education For Sustainable Development ◽  
Professional Life ◽  
Global Challenges ◽  
Life Problems ◽  
The Face ◽  
Contemporary Education ◽  
The Impact

In the face of today’s global challenges, the practice and theory of contemporary education inevitably focuses on developing the competences that help individuals to find meaningfulness in their societal and professional life, to understand the impact of local actions on global processes and to enable them to solve real-life problems [...]

scholarly journals Examining the interplay between face mask usage, asymptomatic transmission, and social distancing on the spread of COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adam Catching ◽  
Sara Capponi ◽  
Ming Te Yeh ◽  
Simone Bianco ◽  
Raul Andino
Keyword(s):  
Social Distance ◽  
Large Fraction ◽  
Real Life ◽  
Virus Transmission ◽  
Face Mask ◽  
Social Distancing ◽  
Viral Spread ◽  
The Face ◽  
Asymptomatic Individuals ◽  
High Virus

AbstractCOVID-19’s high virus transmission rates have caused a pandemic that is exacerbated by the high rates of asymptomatic and presymptomatic infections. These factors suggest that face masks and social distance could be paramount in containing the pandemic. We examined the efficacy of each measure and the combination of both measures using an agent-based model within a closed space that approximated real-life interactions. By explicitly considering different fractions of asymptomatic individuals, as well as a realistic hypothesis of face masks protection during inhaling and exhaling, our simulations demonstrate that a synergistic use of face masks and social distancing is the most effective intervention to curb the infection spread. To control the pandemic, our models suggest that high adherence to social distance is necessary to curb the spread of the disease, and that wearing face masks provides optimal protection even if only a small portion of the population comply with social distance. Finally, the face mask effectiveness in curbing the viral spread is not reduced if a large fraction of population is asymptomatic. Our findings have important implications for policies that dictate the reopening of social gatherings.

scholarly journals Deeply Learned Pose Invariant Image Analysis with Applications in 3D Face Recognition

2019 ◽  
Vol 2019 ◽  
pp. 1-21 ◽  
Author(s):  
Naeem Ratyal ◽  
Imtiaz Ahmad Taj ◽  
Muhammad Sajid ◽  
Anzar Mahmood ◽  
Sohail Razzaq ◽  
...  
Keyword(s):  
Face Recognition ◽  
Superior Performance ◽  
Support Vector ◽  
Complex Nature ◽  
Alignment Algorithm ◽  
3D Face Recognition ◽  
3D Face ◽  
Norm Minimization ◽  
Wide Range ◽  
The Face

Face recognition aims to establish the identity of a person based on facial characteristics and is a challenging problem due to complex nature of the facial manifold. A wide range of face recognition applications are based on classification techniques and a class label is assigned to the test image that belongs to the unknown class. In this paper, a pose invariant deeply learned multiview 3D face recognition approach is proposed and aims to address two problems: face alignment and face recognition through identification and verification setups. The proposed alignment algorithm is capable of handling frontal as well as profile face images. It employs a nose tip heuristic based pose learning approach to estimate acquisition pose of the face followed by coarse to fine nose tip alignment using L2 norm minimization. The whole face is then aligned through transformation using knowledge learned from nose tip alignment. Inspired by the intrinsic facial symmetry of the Left Half Face (LHF) and Right Half Face (RHF), Deeply learned (d) Multi-View Average Half Face (d-MVAHF) features are employed for face identification using deep convolutional neural network (dCNN). For face verification d-MVAHF-Support Vector Machine (d-MVAHF-SVM) approach is employed. The performance of the proposed methodology is demonstrated through extensive experiments performed on four databases: GavabDB, Bosphorus, UMB-DB, and FRGC v2.0. The results show that the proposed approach yields superior performance as compared to existing state-of-the-art methods.

Algorithmic Analysis of Automatic Attendance System using Facial Recognition

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Face Recognition ◽  
Daily Life ◽  
Real Life ◽  
Student Attendance ◽  
Surveillance Camera ◽  
Daily Life Activities ◽  
The Face ◽  
Algorithmic Analysis ◽  
Human Faces ◽  
Face Biometrics

Attendance management can become a tedious task for teachers if it is performed manually.. This problem can be solved with the help of an automatic attendance management system. But validation is one of the main issues in the system. Generally, biometrics are used in the smart automatic attendance system. Managing attendance with the help of face recognition is one of the biometric methods with better efficiency as compared to others. Smart Attendance with the help of instant face recognition is a real-life solution that helps in handling daily life activities and maintaining a student attendance system. Face recognition-based attendance system uses face biometrics which is based on high resolution monitor video and other technologies to recognize the face of the student. In project, the system will be able to find and recognize human faces fast and accurately with the help of images or videos that will be captured through a surveillance camera. It will convert the frames of the video into images so that our system can easily search that image in the attendance database.

From IRL (in-real-life) to URL: Capturing the art biennial amid COVID-19

2021 ◽  
Vol 8 (2-3) ◽  
pp. 291-311
Author(s):  
(Gwen) Kuan-ying Kuo
Keyword(s):  
Real Life ◽  
Art World ◽  
The Public ◽  
Global Pandemic ◽  
International Exhibitions ◽  
Art Scene ◽  
Before And After ◽  
The Face ◽  
The Taiwan Strait ◽  
Potential Shifts

In early 2020, the unforeseen COVID-19 has brought the art world to its knees, particularly the contemporary art scene needs viewers and feedback to survive. Artists require new channels connecting them with their audiences, while artists’ work needs to be seen and appreciated by the public to sustain its value. In the face of social distancing restrictions and limited visitors, however, many international exhibitions are forced to cancel or postponed. With less to no patronage, will the global pandemic bring the end of the art world? As the global pandemic has forced most social and cultural events moving online, the art biennials are no exception. This article examines the art biennial, the Olympics of the art world, to rediscover the meaning of ‘art’ before and after COVID-19. Integrating virtual presentation and digital campaign between the Taipei Biennial and the Shanghai Biennale, the first running art biennials across the Taiwan Strait, this article analyses and presents the art world’s potential shifts in the post-pandemic future.

The Virtues Needed by Experts in Action

2021 ◽  
Vol 58 (4) ◽  
pp. 142-157
Author(s):  
Andrea Lavazza ◽  
Mirko Farina ◽  
Keyword(s):  
Case Studies ◽  
Public Policies ◽  
Real Life ◽  
Social Contexts ◽  
Epistemic Authority ◽  
Relational Autonomy ◽  
Intellectual Humility ◽  
The Face ◽  
Specialist Knowledge

The current Covid-19 pandemic is illustrative of both the need of more experts and of the difficulties that can arise in the face of their decisions. This happens, we argue, because experts usually interact with society through a strongly naturalistic framework, which often places experts’ epistemic authority (understood as neutrality and objectivity) at the centre, sometimes at the expenses of other pluralistic values (such as axiological ones) that people (often non-experts) cherish. In this paper, we argue that we need to supplement such a strong naturalistic framework used to promote epistemic authority with a number of virtues -both intellectual and ethical- which include i. intellectual humility, ii. courage, iii. wisdom and cares, as well as iv. relational autonomy. To illustrate this claim, we discuss these ideas in the context of the Covid-19 pandemic and analyse a set of real-life examples where important decisions have been delegated to experts merely based on their epistemic authority. We use the illustrative failures described in the case studies above-mentioned to call for a revision of current understandings of expertise (merely based on epistemic soundness). Specifically, we argue that in social contexts we increasingly need “experts in action”; that is, people with certified specialist knowledge, who can however translate it into practical suggestions, decisions, and/or public policies that are ethically more balanced and that ultimately lead to fairer, more inclusive, and more representative decisions.

scholarly journals Insights into spray impingement on mask surface: effect of mask properties on penetration and aerosolization of cough droplets

2021 ◽  
Author(s):  
Gautham Vadlamudi ◽  
Thirumalaikumaran S K ◽  
Dipshikha Chakravortty ◽  
Abhishek Saha ◽  
Saptarshi Basu
Keyword(s):  
Size Distribution ◽  
Droplet Size ◽  
Surface Effect ◽  
Real Life ◽  
Droplet Size Distribution ◽  
Source Control ◽  
Fundamental Study ◽  
The Face ◽  
Spray Impingement ◽  
Respiratory Droplets

The emergence of the COVID 19 pandemic has demonstrated the importance of face masks, making them a part of the routine during the pandemic which is still continuing. The face masks act as source control, reducing the transmission of infectious respiratory droplets by acting as a physical barrier blocking the droplets during speaking, breathing, coughing, sneezing, etc. The novelty of current study is to replicate the droplet size distribution and velocity scale similar to an actual cough or a mild sneeze and conduct a fundamental study to investigate the effects of mask properties on model-cough impingement. The spray replicates the presence of both large-sized and small-sized droplets similar to an actual cough, which makes the observations relevant to real-life situations. The spray is impinged on different mask samples with varying properties like porosity, pore size, fabric thickness, and their combinations in multilayer configuration. The effect of mask properties on the droplet penetration volume is studied as it leads to the release of higher pathogen loading into the surroundings. A two step penetration criteria based on viscous dissipation and capillary effects have been applied along with a third criteria based on the porosity of the mask sample that is specifically applicable for the spray impingement. The droplets present in the impinging cough can penetrate through the mask, atomizing into the aerosolization range and thus increasing the infection potential. Hence the effect of mask properties on the droplet size distribution as well as the velocity distribution of the penetrated droplets has been investigated, which will be essential for estimating the range of infection spread. The filtration of virus-emulating nanoparticles as well as the fate of the penetrated respiratory droplets, with a susceptible person in the proximity, has also been investigated.

scholarly journals Physiological synchrony promotes cooperative success in real-life interactions

2019 ◽  
Author(s):  
F. Behrens ◽  
J. A. Snijdewint ◽  
R. G. Moulder ◽  
E. Prochazkova ◽  
E. E. Sjak-Shie ◽  
...  
Keyword(s):  
Heart Rate ◽  
Skin Conductance ◽  
Cooperative Behavior ◽  
Skin Conductance Level ◽  
Real Life ◽  
Dyadic Interaction ◽  
Gut Feelings ◽  
The Face ◽  
Social Decision Making ◽  
Conductance Level

AbstractCooperation is pivotal for society to flourish and prosper. To ease cooperation, humans express and read emotions and intentions via explicit signals or subtle reflections of arousal visible in the face. Evidence is accumulating that humans synchronize these nonverbal expressions, as well as the physiological mechanisms underlying them, potentially promoting cooperative behavior. The current study is designed to verify the existence of this putative linkage between synchrony and cooperation. To that extent, 152 participants played multiple rounds of the Prisoner’s Dilemma game in a naturalistic dyadic interaction setting. During one round of games they could see each other, and during a second round they could not. The results showed that when people’s heart rate and skin conductance level aligned, they cooperated more successfully. Interestingly, for skin conductance level synchrony to boost cooperation, face to face contact was essential. The effect of heart rate synchrony on cooperation was context independent. Skin conductance level, but not heart rate, tended to closely correlate with changes in pupil size and we discuss how the pupil might provide a window to partners’ sympathetic arousal. These findings show how unconscious mechanisms guide social behavior and emphasize the importance of studying social processes between rather than within individuals in real-life interactions.Significance StatementHuman cooperation is remarkable in its scale, complexity, and efficiency. However, whereas people think of themselves as rational agents, they actually partly base their decision to cooperate with someone on gut feelings. These feelings are informed by non-verbal expressions that are picked up implicitly and that synchronize across interaction partners. For the first time, we show that the alignment of people’s arousal over multiple rounds of the Prisoners’ dilemma game predicts cooperative success. Through synchrony, partners converge emotionally, fostering understanding and bonding, which are key ingredients when it comes to successful cooperation. This suggests that successfully cooperating does not depend on individuals, but on the connection between individuals, emphasizing the importance of studying social decision-making processes in real-life settings.

scholarly journals The Rushdie Affair – Politics, Culture and Ethnicity in Hanif Kureishi’s The Black Album

Politeja ◽  
2015 ◽  
Vol 12 (8 (31/2)) ◽  
pp. 11-26
Author(s):  
Małgorzata Ossowska-Czader
Keyword(s):  
Cultural Context ◽  
Real Life ◽  
Point Of View ◽  
British Society ◽  
The Novel ◽  
Muslim Identity ◽  
Hanif Kureishi ◽  
Second Generation Immigrants ◽  
The Face ◽  
British Muslims

The aim of this paper is to show how politics, culture and ethnicity interweave in the context of the Rushdie Affair in both the real‑life dimension of the historical events taking place in the late 1980s, as well as the literary dimension of the novel by Hanif Kureishi entitled The Black Album. The paper briefly outlines the Rushdie Affair as it unfolded in the British public sphere with particular emphasis placed on the process of consolidation of the Muslim identity among the representatives of different ethnic groups in Great Britain in the political and cultural context of the event which is deemed to be defining from the point of view of British Muslims. The author of the paper presents the profile of Hanif Kureishi, to indicate why he is ideally positioned to look critically at both sides of the conflict. The paper analyses the novel itself insofar as it examines the implications of the Rushdie Affair depicted in The Black Album, the reactions of the second‑generation immigrants of Pakistani descent in the face of the controversy, the influence this event exerted on the process of their searching for identity as well as their integration into British society. Two opposing identity options taken up by the protagonists of The Black Album are analysed by the author of the paper.

Sign in / Sign up

Export Citation Format

Share Document