scholarly journals Does age-dynamic movement accelerate facial age impression? Perception of age from facial movement: Studies of Japanese women

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255570
Author(s):  
Motonori Kurosumi ◽  
Koji Mizukoshi ◽  
Maya Hongo ◽  
Miyuki G. Kamachi
Keyword(s):  
Facial Expressions ◽  
Daily Life ◽  
Japanese Women ◽  
Facial Movement ◽  
Aging Research ◽  
Daily Life Activities ◽  
Facial Movements ◽  
Dynamic Movement ◽  
Age Dependent ◽  
Age Perception

We form impressions of others by observing their constant and dynamically-shifting facial expressions during conversation and other daily life activities. However, conventional aging research has mainly considered the changing characteristics of the skin, such as wrinkles and age-spots, within very limited states of static faces. In order to elucidate the range of aging impressions that we make in daily life, it is necessary to consider the effects of facial movement. This study investigated the effects of facial movement on age impressions. An age perception test using Japanese women as face models was employed to verify the effects of the models’ age-dependent facial movements on age impression in 112 participants (all women, aged 20–49 years) as observers. Further, the observers’ gaze was analyzed to identify the facial areas of interests during age perception. The results showed that cheek movement affects age impressions, and that the impressions increase depending on the model’s age. These findings will facilitate the development of new means of provoking a more youthful impression by approaching anti-aging from a different viewpoint of facial movement.

Mobile phone apps’ support for people with mild dementia: A systematic review (Preprint)

2019 ◽  
Author(s):  
Leona Cilar ◽  
Lucija Gosak ◽  
Amanda Briggs ◽  
Klavdija Čuček Trifkovič ◽  
Tracy McClelland ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Thematic Analysis ◽  
Daily Life ◽  
General Term ◽  
Cognitive Domain ◽  
Mild Dementia ◽  
Daily Life Activities ◽  
Human Needs ◽  
People With Dementia ◽  
System Usability Scale

BACKGROUND Dementia is a general term for various disorders characterized by memory impairment and loss of at least one cognitive domain. People with dementia are faced with different difficulties in their daily life activities (DLA). With the use of modern technologies, such as mobile phone apps – often called health apps, their difficulties can be alleviated. OBJECTIVE The aim of this paper was to systematically search, analyze and synthetize mobile phone apps designed to support people with mild dementia in daily life activities in two apps bases: Apple App Store and Google Play Store. METHODS A search was conducted in May 2019 following PRISMA recommendations. Results were analyzed and displayed as tables and graphs. Results were synthetized using thematic analysis which was conducted from 14 components, based on human needs for categorized nursing activities. Mobile phone apps were assessed for quality using the System Usability Scale. RESULTS A total of 15 mobile phone apps were identified applying inclusion and exclusion criteria. Five major themes were identified with thematic analysis: multi-component DLA, communication and feelings, recreation, eating and drinking, and movement. Most of the apps (73%) of the apps were not mentioned in scientific literature. CONCLUSIONS There are many mobile phone apps available in mobile phone markets for the support for people with mild dementia; yet only a few of them are focused on challenges in daily life activities. Most of the available apps were not evaluated nor assessed for quality.

The visual signature of non-understanding: A systematic replication of McDonough, Trofimovich, Lu, and Abashidze ()

2021 ◽  
pp. 1-15
Author(s):  
Kim McDonough ◽  
Rachael Lindberg ◽  
Pavel Trofimovich ◽  
Oguzhan Tekin
Keyword(s):  
Second Language ◽  
Facial Expressions ◽  
Exploratory Study ◽  
Replication Study ◽  
English Speakers ◽  
Lingua Franca ◽  
Visual Cue ◽  
Systematic Replication ◽  
Dynamic Movement

Abstract This replication study seeks to extend the generalizability of an exploratory study (McDonough et al., 2019) that identified holds (i.e., temporary cessation of dynamic movement by the listener) as a reliable visual cue of non-understanding. Conversations between second language (L2) English speakers in the Corpus of English as a Lingua Franca Interaction (CELFI; McDonough & Trofimovich, 2019) with non-understanding episodes (e.g., pardon?, what?, sorry?) were sampled and compared with understanding episodes (i.e., follow-up questions). External raters (N = 90) assessed the listener's comprehension under three rating conditions: +face/+voice, −face/+voice, and +face/−voice. The association between non-understanding and holds in McDonough et al. (2019) was confirmed. Although raters distinguished reliably between understanding and non-understanding episodes, they were not sensitive to facial expressions when judging listener comprehension. The initial and replication findings suggest that holds remain a promising visual signature of non-understanding that can be explored in future theoretically- and pedagogically-oriented contexts.

scholarly journals Facial Expression Recognition Based on Multi-Features Cooperative Deep Convolutional Network

2021 ◽  
Vol 11 (4) ◽  
pp. 1428
Author(s):  
Haopeng Wu ◽  
Zhiying Lu ◽  
Jianfeng Zhang ◽  
Xin Li ◽  
Mingyue Zhao ◽  
...  
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Video Data ◽  
Expression Recognition ◽  
Convolutional Network ◽  
Facial Movements ◽  
The Face ◽  
Deep Convolutional Network ◽  
Selection Of

This paper addresses the problem of Facial Expression Recognition (FER), focusing on unobvious facial movements. Traditional methods often cause overfitting problems or incomplete information due to insufficient data and manual selection of features. Instead, our proposed network, which is called the Multi-features Cooperative Deep Convolutional Network (MC-DCN), maintains focus on the overall feature of the face and the trend of key parts. The processing of video data is the first stage. The method of ensemble of regression trees (ERT) is used to obtain the overall contour of the face. Then, the attention model is used to pick up the parts of face that are more susceptible to expressions. Under the combined effect of these two methods, the image which can be called a local feature map is obtained. After that, the video data are sent to MC-DCN, containing parallel sub-networks. While the overall spatiotemporal characteristics of facial expressions are obtained through the sequence of images, the selection of keys parts can better learn the changes in facial expressions brought about by subtle facial movements. By combining local features and global features, the proposed method can acquire more information, leading to better performance. The experimental results show that MC-DCN can achieve recognition rates of 95%, 78.6% and 78.3% on the three datasets SAVEE, MMI, and edited GEMEP, respectively.

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.

Mental time travel and functional daily life activities in neglect patients: Recovery effects of rehabilitation by prism adaptation

Cortex ◽  
2019 ◽  
Vol 113 ◽  
pp. 141-155 ◽  
Author(s):  
Filomena Anelli ◽  
Stefano Avanzi ◽  
Alessio Damora ◽  
Mauro Mancuso ◽  
Francesca Frassinetti
Keyword(s):  
Daily Life ◽  
Time Travel ◽  
Prism Adaptation ◽  
Mental Time Travel ◽  
Daily Life Activities

scholarly journals Participation in daily life activities and its relationship to strength and functional measures in boys with Duchenne muscular dystrophy

2014 ◽  
Vol 36 (22) ◽  
pp. 1918-1923 ◽  
Author(s):  
Roxanna M. Bendixen ◽  
Donovan J. Lott ◽  
Claudia Senesac ◽  
Sunita Mathur ◽  
Krista Vandenborne
Keyword(s):  
Duchenne Muscular Dystrophy ◽  
Muscular Dystrophy ◽  
Daily Life ◽  
Daily Life Activities ◽  
Functional Measures

scholarly journals Comfort needs as perceived by hospitalized elders: an analysis under the light of Kolcaba’s theory

2020 ◽  
Vol 73 (suppl 3) ◽  
Author(s):  
Sanni Moraes de Oliveira ◽  
Kátia Neyla de Freitas Macêdo Costa ◽  
Kamyla Félix Oliveira dos Santos ◽  
Jacira dos Santos Oliveira ◽  
Maria Auxiliadora Pereira ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Nursing Care ◽  
Daily Life ◽  
Symptom Relief ◽  
The Elderly ◽  
University Hospital ◽  
Daily Life Activities ◽  
Physical Context ◽  
Thematic Units

ABSTRACT Objective: To reveal the Comfort needs as perceived by hospitalized elders, using Kolcaba’s theory. Methods: Descriptive and qualitative study, with 11 elders hospitalized in a university hospital, aiming to identify their needs for Comfort. Results: Discourses were categorized in four thematic units: Physical, Environmental, Sociocultural, and Psychospiritual. In the Physical context, several subcategories were found, namely, Symptom Relief; Daily Life Activities; Hygiene and personal care; Diet; Sleep and rest. In the Environmental context, the Comfort was considered to be superior than in the elders’ home; in the Sociocultural one, family bonds were found to become more distant, triggering feelings of missing one’s family and isolation, in the Psychospiritual context, spirituality and religiosity stood out. Final considerations: The Comfort needs of the hospitalized elders enable one to reflect on nursing care, offering information to improve the quality of assistance and to attend to the real needs of the elderly.

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