Non-verbal Communication and Touchless Activation of a Radio-Controlled Car via Facial Activity Recognition

2020 ◽  
Vol 21 (6) ◽  
pp. 1035-1046 ◽  
Author(s):  
Dong Yeol Han ◽  
Bi Oh Park ◽  
Jae Won Kim ◽  
Ji Hoon Lee ◽  
Won Gu Lee
Keyword(s):  
Activity Recognition ◽  
Verbal Communication ◽  
Facial Activity

scholarly journals Unsupervised End-to-End Deep Model for Newborn and Infant Activity Recognition

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6467
Author(s):  
Kyungkoo Jun ◽  
Soonpil Choi
Keyword(s):  
Activity Recognition ◽  
Human Activity ◽  
External Force ◽  
Normal Condition ◽  
Verbal Communication ◽  
Sensor Data ◽  
Accelerometer Data ◽  
Performance Tests ◽  
Deep Model ◽  
End To End

Human activity recognition (HAR) works have mostly focused on the activities of adults. However, HAR is typically beneficial to the safety and wellness of newborn or infants because they have difficulties in verbal communication. The activities of infants are different from those of adults in terms of its types and intensity. Hence, it is necessary to study the behavior of infants separately. We study newborn and infant activity recognition by analyzing accelerometer data from the sensors attached to body. We aim to classify four types of activities: sleeping, moving in agony, moving in normal condition, and movement by external force. For this work, we collected 11 h videos and corresponding sensor data from 10 infant subjects. For recognition, we propose an end-to-end deep model using autoencoder and k-means clustering, which is trained in an unsupervised way. From a set of performance tests, our model can achieve 0.96 in balanced accuracy and F-1 score of 0.95.

Parent Education in Studies With Nonverbal and Minimally Verbal Participants With Autism Spectrum Disorder: A Systematic Review

2020 ◽  
Vol 29 (2) ◽  
pp. 890-902
Author(s):  
Lynn Kern Koegel ◽  
Katherine M. Bryan ◽  
Pumpki Lei Su ◽  
Mohini Vaidya ◽  
Stephen Camarata
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Parent Education ◽  
Autism Spectrum ◽  
Verbal Communication ◽  
Fidelity Of Implementation ◽  
Spectrum Disorder ◽  
Education Programs ◽  
Minimally Verbal ◽  
Parent Education Programs

Purpose The purpose of this systematic review was to identify parent education procedures implemented in intervention studies focused on expressive verbal communication for nonverbal (NV) or minimally verbal (MV) children with autism spectrum disorder (ASD). Parent education has been shown to be an essential component in the habilitation of individuals with ASD. Parents of individuals with ASD who are NV or MV may particularly benefit from parent education in order to provide opportunities for communication and to support their children across the life span. Method ProQuest databases were searched between the years of 1960 and 2018 to identify articles that targeted verbal communication in MV and NV individuals with ASD. A total of 1,231 were evaluated to assess whether parent education was implemented. We found 36 studies that included a parent education component. These were reviewed with regard to (a) the number of participants and participants' ages, (b) the parent education program provided, (c) the format of the parent education, (d) the duration of the parent education, (e) the measurement of parent education, and (f) the parent fidelity of implementation scores. Results The results of this analysis showed that very few studies have included a parent education component, descriptions of the parent education programs are unclear in most studies, and few studies have scored the parents' implementation of the intervention. Conclusions Currently, there is great variability in parent education programs in regard to participant age, hours provided, fidelity of implementation, format of parent education, and type of treatment used. Suggestions are made to provide both a more comprehensive description and consistent measurement of parent education programs.

Infant Monitoring System using Activity Recognition

2014 ◽  
Vol 134 (3) ◽  
pp. 332-337 ◽  
Author(s):  
Jun Goto ◽  
Takuya Kidokoro ◽  
Tomohiro Ogura ◽  
Satoshi Suzuki
Keyword(s):  
Monitoring System ◽  
Activity Recognition

What discourse analytic approaches contribute to the study of language and autism

2017 ◽  
Vol 1 (1) ◽  
pp. 30-54 ◽  
Author(s):  
Laura Sterponi ◽  
Jenton De Kirby
Keyword(s):  
Conversation Analysis ◽  
Clinical Intervention ◽  
Children With Autism ◽  
Verbal Communication ◽  
Theoretical Premise ◽  
Interactional Processes

In this article, we offer a framework for conceptualizing the contribution of discourse analytic approaches to the study of the verbal communication of children with autism, with an emphasis on conversation analysis. We argue that insights from these approaches serve to complexify traditional deficit interpretations of prototypical features of autistic language, such as pronoun atypicality, pragmatic difficulties, and echolalia. Our framework is presented in three parts, each comprising a theoretical premise about language made by discourse analytic approaches and the premise’s methodological corollary. To illustrate, we analyze extracts from three children with autism, pointing to competencies and interactional processes and that are largely invisible in mainstream research. Finally, we describe how these insights offer fruitful suggestions for clinical intervention.

Activity Recognition using Ultra Wide Band Range-Time Scan

2021 ◽  
Author(s):  
Arijit Chowdhury ◽  
Taniya Das ◽  
Smriti Rani ◽  
Anwesha Khasnobish ◽  
Tapas Chakravarty
Keyword(s):  
Activity Recognition ◽  
Wide Band ◽  
Ultra Wide Band ◽  
Time Scan
Sign in / Sign up

Export Citation Format

Share Document