scholarly journals Face Gesture Controlled, Computer Vision Based, Robotic Intelligent Device for People with Spinal Injuries, Cerebral Palsy, Amputation, and Muscular Dystrophy

2021 ◽  
Author(s):  
Aryansh Shrivastava
Keyword(s):  
Computer Vision ◽  
Cerebral Palsy ◽  
Muscular Dystrophy ◽  
People With Disabilities ◽  
Spinal Injuries ◽  
Verbal Communication ◽  
Facial Gestures ◽  
The Face ◽  
Robotic Devices

The goal of my project is to create a computer vision and AI based system that can interpret the face gestures in an intelligent and meaningful way, helping people with disabilities to do two way written and verbal communication. This system should also use face gestures to control the precise navigation of wheelchairs and other guided robotic devices, which will help their movement. Also, this system should be able to interpret and convert facial gestures into commands which can control home and office gadgets that will help them control the environment around them, such as lighting (on/off), temperature, and sound.

scholarly journals Brainwave Controlled, Robotic Intelligent Assistive Device for People with Spinal Injuries, Cerebral Palsy, Amputation, and Muscular Dystrophy

2021 ◽  
Author(s):  
Aryansh Shrivastava
Keyword(s):  
Quality Of Life ◽  
Cerebral Palsy ◽  
Muscular Dystrophy ◽  
Spinal Injuries ◽  
Daily Activities ◽  
Assistive Device ◽  
Social Aspects ◽  
Daily Lives ◽  
Supported Living

People with spinal injuries, cerebral palsy, amputation, muscular dystrophy, etc. have little to no control of their hands or feet, and many times they cannot even speak to express their thoughts. Individuals with such impairments encounter extreme physical, social, and environmental challenges in their daily lives, which, in turn, create impediments to self-supported living and to opportunities to take part in economic and social aspects of life. To help these people, there is a need of a neuro bio signal-controlled, machine learning based system that can interpret their thoughts in a meaningful way, helping people with disabilities conduct daily activities, enabling them to improve their quality of life and live independently.

scholarly journals Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy

2021 ◽  
Author(s):  
Nathaniel Dennler ◽  
Catherine Yunis ◽  
Jonathan Realmuto ◽  
Terence Sanger ◽  
Stefanos Nikolaidis ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Verbal Communication ◽  
User Engagement

scholarly journals Web Application for Emotion-based Music Player

2021 ◽  
Vol 9 (12) ◽  
pp. 11-14
Author(s):  
Kamal Naina Soni
Keyword(s):  
Computer Vision ◽  
Human Brain ◽  
Facial Expressions ◽  
Web Application ◽  
Emotional State ◽  
Current State ◽  
The Face ◽  
Current Mood ◽  
The Individual ◽  
Music Player

Abstract: Human expressions play an important role in the extraction of an individual's emotional state. It helps in determining the current state and mood of an individual, extracting and understanding the emotion that an individual has based on various features of the face such as eyes, cheeks, forehead, or even through the curve of the smile. A survey confirmed that people use Music as a form of expression. They often relate to a particular piece of music according to their emotions. Considering these aspects of how music impacts a part of the human brain and body, our project will deal with extracting the user’s facial expressions and features to determine the current mood of the user. Once the emotion is detected, a playlist of songs suitable to the mood of the user will be presented to the user. This can be a big help to alleviate the mood or simply calm the individual and can also get quicker song according to the mood, saving time from looking up different songs and parallel developing a software that can be used anywhere with the help of providing the functionality of playing music according to the emotion detected. Keywords: Music, Emotion recognition, Categorization, Recommendations, Computer vision, Camera

Three-Dimensional Spinal Deformity in Scoliosis Associated with Cerebral Palsy and with Progressive Muscular Dystrophy

Spine ◽  
1993 ◽  
Vol 18 (15) ◽  
pp. 2290-2294 ◽  
Author(s):  
Shigeo Suzuki ◽  
Yoshitaka Kasahara ◽  
Satoru Yamamoto ◽  
Yoichi Seto ◽  
Kengo Furukawa ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Muscular Dystrophy ◽  
Spinal Deformity ◽  
Three Dimensional ◽  
Progressive Muscular Dystrophy

Electronic fetal monitoring, cerebral palsy, and medical ethics: Nonsense of a high order1

2017 ◽  
Vol 17 (1-2) ◽  
pp. 43-64 ◽  
Author(s):  
Thomas P. Sartwelle ◽  
James C. Johnston ◽  
Berna Arda
Keyword(s):  
Cerebral Palsy ◽  
Paradigm Shift ◽  
Fetal Monitoring ◽  
The Past ◽  
Overwhelming Evidence ◽  
Electronic Fetal Monitoring ◽  
The Face ◽  
Medical Paradigm ◽  
Junk Science ◽  
Scientific Technology

Electronic fetal monitoring (EFM) was predicted by its inventors to be the long-sought cerebral palsy (CP) nemesis. Rather than prevent CP or any other birth problems, 40 years of EFM use has done substantial harm to mothers and babies and created a worldwide CP-EFM litigation industry that enriches only trial lawyers. Physicians, frightened by the ever-expanding and costly CP-EFM litigation crisis, and focused on avoiding lawsuits at all costs, embraced ethical relativism—charitably called defensive medicine—and continued EFM use even in the face of overwhelming evidence that EFM is merely junk science. In doing so, physicians completely abandoned the bedrock bioethics principles of autonomy, beneficence, and nonmaleficence. This daily ethical drama has played itself out for the past almost half century with little protest from obstetricians and no protest from ethicists. This article reviews EFM harms, the CP-EFM litigation crisis, and the resulting abandonment of bioethics principles and explores why the CP-EFM paradigm has failed utterly to follow the Kuhnian model of the scientific, technology, medical paradigm shift.

scholarly journals A Review on Online Classroom Attendance Marking System Using Face Recognition, Python, Computer Vision, and Digital Image Processing

2021 ◽  
Vol 9 (12) ◽  
pp. 2342-2345
Author(s):  
Nandkishor Satpute
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Face Recognition ◽  
Processing Method ◽  
Online Classroom ◽  
Detection Algorithms ◽  
The Neural Network ◽  
Network Concept ◽  
The Face ◽  
Human Faces

Abstract: The face is that the identity of someone. The tactic to appear out this physical feature has seen an exquisite change since the advent of the image processing method. Attendance is monitored in every school, college and library. The regular method for attendance is for teachers to call student name & mark attendance. Nowadays, AI has been explored for computer vision-related applications. So, we use the neural network concept in Face recognition for automatically attendance marking systems. This project will perform the face recognition and face detection algorithms, to generate the computer systems strength of acquiring and recognizing human faces fast, accurately, and precisely in live streams so that the systems can be used in the marking attendance

scholarly journals Non Verbal Communication for Analyzing the Malpractice in Examinations– An Overview

2018 ◽  
Vol 7 (2.20) ◽  
pp. 227
Author(s):  
Kujani T ◽  
Sathya T ◽  
Bhuvanya R ◽  
Uma S
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Interpersonal Communication ◽  
Nonverbal Communication ◽  
Current Situation ◽  
Verbal Communication ◽  
Machine Learning Techniques ◽  
The People ◽  
Learning Techniques

Nonverbal communication can specify the psychosomatic behavior of people involved in interpersonal communication. Many researchers have specified the importance of gesture intimation. In the paper, we shall apply the previously used computer vision hardware and Machine Learning techniques for capturing the postures students undergoing examination in the classroom atmosphere. The main       intention is to classify the people who involved in misbehavior such as copying, prompting answers, sharing the answer scripts and any other such practices. Current situation prevailing is though a physical monitor, invigilator is available in the exam hall the students     attempt to misbehave in various ways mentioned above. We discuss about the techniques to be employed to get an analysis of the       behavior of each student involved in exam. 

Social and psychological aspects of readiness of parents for the involvement of children with cerebral palsy in adaptive physical education classes

2021 ◽  
Vol 2 (2) ◽  
pp. 65-72
Author(s):  
Tatiana V. Sviridova ◽  
Anna A. Kuzivanova ◽  
Yuliia G. Semenova ◽  
Arsenii A. Modestov
Keyword(s):  
Cerebral Palsy ◽  
Positive Impact ◽  
People With Disabilities ◽  
Physical Culture ◽  
National Medical ◽  
Adaptive Physical Education ◽  
The Family ◽  
Children With Cerebral Palsy ◽  
Medical Indications ◽  
Positive Results

Introduction. Participation in the sports movement is an effective tool for the full-fledged socialization of people with disabilities. In this regard, one of the socially significant tasks of the state is to ensure the availability of conditions for practicing various sports and adaptive physical culture (APhC) for people with disabilities. Materials and methods. To study the socio-psychological readiness of the family to include a disabled child in APhC classes, a survey was conducted on 67 parents of children with cerebral palsy (CP). CP patients were observed at the National Medical Research Center of Children’s Health of the Ministry of Health of Russia in 2019-2020. The criteria for the inclusion of participants in the group of subjects were the informed consent of the parents, the presence of medical indications, and the absence of contraindications for the child to engage in APhC training. Results. There is presented objective data indicating a positive attitude of respondents to APhC as one of the most effective tools for the development of movements in children. The factors that determine the socio-psychological readiness of parents for this type of rehabilitation are awareness of the child’s health, emotional stability and focus on achieving positive results in the child’s socialization, sufficient adherence to treatment. Socio-psychological factors reducing the likelihood of including children in APhC classes include a pessimistic assessment of the child’s health and social prospects, insufficient awareness of the positive impact of APhC classes on the physical development of a CP child, an incomplete awareness of the institutions in which this type of assistance can be obtained, the place of residence, the low physical activity of parents. Conclusion. The study of the socio-psychological profiles of parents with different motivations for the participation of a CP child in APhC classes proves the need for a differentiated approach to the management of psychological and pedagogical work with parents.

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