Eye blink to voice format communication for paralyzed patients
The wide growth of technology in the medication field reduces the difficulties of patients to a large extent. Motor Neuron Disease is one such major classes of physical disabilities resulting in disfunction.MND patients are unable to figure like walk and communicate caused by weakness of muscles. The patient has management solely upon his Eye movement. This technique contains strategies like face detection, eye detection, eye pursuit, conversion of blink to voice, Video-Oculogragphy methodology is employed to create communication between patient and caretaker. The image process module incorporates a digital camera and therefore the eye movement-image is captured with OpenCv to get the coordinate of the eyeball. The system permits the patients to speak with caretaker victimization blink pattern converted into voice format The sensible resolution for image process is obtained be Python programming with Open CV
Published by: Namratha K. S., Jeevitha B. S., Sneha P. H., Veda D.
Author: Namratha K. S.
Paper ID: V6I4-1229
Paper Status: published
Published: July 28, 2020
Computer vision and its role in driving safety
Every year there are more than 1.2 million road accidents happening across the globe, which accounts for more than 2.2% of deaths on a global scale. There has been an alarming increase in road accidents in today’s time and a major reason behind this can be attributed to how the driver is behaving during his driving. Some of them may be unavoidable, yet a major portion of the hazards may be averted if there are means to keep a check on driver state ranging from their physical condition to monitoring their reckless driving patterns. This is where the advent of technology and the role of having a robust monitoring ecosystem come into the picture. Computer Vision more or less is a sought after technology that automotive companies today are chasing, be it telematics-based connected cars or autonomous self-driving vehicles. It can help solve this purpose by monitoring the driver drowsiness through advanced image processing solutions and providing the user with an integrated report showcasing how concentrated their driving was and what needs to be improved. This image processing technique may also be integrated into Telematics products to provide results on what the eco-driving score of the user is and maybe alerted via notifications on smartphones as to what daily trends of their driving are. This solution proves to be an effective approach to counter and restrict the increasing number of road accidents happening across the globe and meet end goal of achieving the maximum safety out of the road-network ecosystem.
Published by: Probhakar Sarkar, Umair Siddiqui
Author: Probhakar Sarkar
Paper ID: V6I4-1217
Paper Status: published
Published: July 28, 2020
Handwritten character recognition
Character recognition is one of the most important research fields of image processing and pattern recognition. Character recognition is generally known as Handwritten Character Recognition (HCR) or Optical Character Recognition (OCR). HCR is the process of electronic translation of handwritten images or typewritten text into machine editable text. It becomes very difficult if there are lots of paper based information on companies and offices. Because they want to manage huge volume of documents and records. Computers can work much faster and more efficiently than human. It is used to perform many of the tasks required for efficient document and Content management. But computer knows only alphanumeric characters as ASCII code. So computer cannot distinguish character or word from a scanned image. In order to use the computer for document management, it is required to retrieve alphanumeric information from a scanned image. There are so many methods which are currently used for OCR and are based on different languages. The existing method like Artificial Neural Network (ANN based on English Handwritten character recognition needs the features to be extracted and also the performance level is low. So Convolutional Neural Network (CNN) based English handwritten character recognition method is used as a deep machine learning method for which it doesn't want to extract the features and also a fast method for character recognition.
Published by: Addala Tejaswini, Y. Lakshmi Pratyusha, A. Rajashekar Reddy
Author: Addala Tejaswini
Paper ID: V6I4-1268
Paper Status: published
Published: July 28, 2020
A study to assess the effectiveness of structured teaching programme regarding knowledge and practices of mother on prevention of accidents among toddlers
Introduction: Mother is an important care provider and she is strongly responsible to the safety of the children. Children are the most vulnerable group of our population. Childhood accident is a sudden cause of death in children. Accident means “sudden, unexpected harmful event", An accident is often a harmful event that could be avoided by a little careful thought. Child accidents are very common among toddlers. Objectives: This study was done to assess the effectiveness of structure teaching programme regarding knowledge and practice of mothers. to assess the knowledge of mothers regarding prevention of accidents among toddlers, to assess the practice of mothers regarding prevention of accidents among toddlers, to find out the effectiveness of structured teaching program regarding knowledge and practices of mothers on the prevention of accidents among toddlers, to find out the association between the selected demographic variables with knowledge and practice score of mothers regarding prevention of accidents among toddlers. Material and Method: The present study has been carried out in Mashobra village and sample was included 320 mothers of toddlers. A structured questionnaire sheet was developed by the researcher to collect data. A simple random sampling approach was followed in this study and collection of data was performed by interviewing each mother at her home. The main results obtained from the study were as follows: most of the mothers were very poor knowledge of prevention of common accidents among toddlers and nearly all home had at least two or three potential environmental hazards. RESULTS: The present study revealed that the overall pre-test mean knowledge score of mothers regarding prevention of accidents among toddlers was found 31.67% and post test score was 73.33% in area of overall accidents, According to mothers practice in different type of accidents the present study indicated that the majority of mothers had 100% poor practice and post practice score was 62.5% mothers have moderate practice and 37.5% of mothers have good practice score regarding prevention of accidents among toddlers. After administration of STP the knowledge and practice level of mothers increased tremendously. The present study recommended health promotion classes about causes of accidents, first aid, preventive measures and safety for mothers at MCH center, in service educational program toward first aid should be established for community health nurses at rural health units and MCH center, a well planned health education program about causes of accidents, first aid and prevention introduced to the curriculum. Interpretation and Conclusion: The study findings revealed that structured teaching programme was highly effective in improving knowledge and practice of mothers regarding prevention of accidents among toddler. Key Word: Effectiveness, Knowledge, Practice, Structured teaching programme, toddler,
Published by: Prabha Kashyap
Author: Prabha Kashyap
Paper ID: V6I4-1263
Paper Status: published
Published: July 24, 2020
A Descriptive study to access the awareness regarding oral hygiene and prevalence of oral problems among school children at selected school, Mohali, Punjab
Background of the study: Oral health is a part of general health. Oral health also influences the quality of life. Dental caries and periodontal diseases are common diseases in populations. These diseases are highly irreversible, once occur, and also have complex etiology. Although primary prevention techniques exist for total protection. Statement of the problem: A Descriptive study to access the awareness regarding oral hygiene and prevalence of oral problems among school children at selected schools, Mohali, Punjab. Objectives: assess the awareness regarding oral hygiene, describe the prevalence of oral problems, determine the association between awareness regarding oral hygiene and prevalence of oral problems, find out the association between awareness and prevalence with selected sociodemographic variables. Materials and Methods: Qualitative approach and descriptive research design are adopted in this study. The study was conducted at BSF, Arya Senior Secondary School, Sohana, Mohali (Punjab). The target population was school children. A study was conducted on 150 school children; sampling technique adapted to this study is a purposive sampling technique. The structured questioner and checklist were prepared. Tools were validated by various concerned experts before application. Result: The result was interpreted as follows. According to sociodemographic variable the age of 12 years 20% (30) 13 years 44 % (66) 14 years 36% (54), class 7th 20% (30), 8th class 44% (66) 9th 36% (54) sex of the child male 100% female 0%, education of father ,illiterate 0%, middle 8% (12), Matric 41% (62), Senior Secondary 41% (62) graduate and above 9% (14). Conclusion: In the present study 150 students participated. The findings of the study revealed that the majority of school children show a moderate level of awareness about oral hygiene and prevalence of oral problems.
Published by: Indira Devi
Author: Indira Devi
Paper ID: V6I4-1261
Paper Status: published
Published: July 24, 2020
Nanobots in nanomedicine : An overview
In this century, health care industries are mainly focusing on the development of minimally invasive techniques for diagnosing as well as for curing ailments. For the implant of bones and membranes, a better-advanced technology is needed. As an advancement, scientists incorporated robots at the nanoscale to enhance the developments in the medical field. Nanorobotics is a growing area of nanotechnology in which they collaborate with machines or robots which is at the nanoscale. There are many challenges for the growth of this technology, not only from the technical side but also from the introduction of new material into the human body and environment. On the other side, the advantages of nanobots are immense. Nanobots can pave way for many creative approaches especially as good applicants for complex treatments. The goal of this paper is to peek into the applications of nanobots in medicine.
Published by: Jyolsna P.
Author: Jyolsna P.
Paper ID: V6I4-1219
Paper Status: published
Published: July 24, 2020
