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Sethi, Dimple
- X-Gyno: Fuzzy Method based Medical Expert System for Gynaecology
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Authors
Affiliations
1 School of Computer Science Engineering, Lovely Professional University, Phagwara – 144411, Punjab, IN
1 School of Computer Science Engineering, Lovely Professional University, Phagwara – 144411, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 28 (2016), Pagination:Abstract
Inflammatory disease is the category which is discussed in this paper, early diagnosis of these diseases will help in proper treatment of the disease. The main disorders considered in this research are, Acute Cerviticis, Chronic Cerviticis, Acute Endometritis, Chronic Endometritis, Atrophic Endometeritis, Acute Salpingo-oophortis, Chronic Salpingo-oophoritis. The method employed is Fuzzy Logic and is implemented in MATLAB. In this research we make use of fuzzy logic to develop the fuzzy system for gynaecology. For testing purpose data of nearly 144 patients has been collected to verify the system. Various results obtained showed that the diagnosis of these disorders corresponding to the symptoms that were selected were successful. The data has been acquired and verified with the help of various experts like from Sanjeevani Hospital, Jalandhar, Arora Hospital, Kartarpur. With all these findings, it makes sure that the system will be beneficial not only in the case of cost effectiveness but also help in saving time and by calculating various values 96.1% of efficiency has been achieved.Keywords
Acute, Cerviticis, Chronic, Diagnosis, Gynaecology Disorders.Full Text
- X-HuBIS: A Fuzzy Rule based Human Behaviour Identification System based on Body Gestures
Abstract Views :176 |
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Authors
Affiliations
1 School of Computer Science Engineering, Lovely Professional University, Phagwara – 144411, Punjab, IN
1 School of Computer Science Engineering, Lovely Professional University, Phagwara – 144411, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: In this paper, an attempt is made to identify the behaviour of human based on his/her body gesture. Body gesture recognition is very important and prime feature to detect the behaviour of the human being so behaviour and frame of mind of any person can be judged from one’s body gesture. Methods/Statistical Analysis: Our proposed system captures an image of a person and recognizes different gestures related to head, hands and legs positions. The different types of rules are defined in fuzzy system that will produce the behaviour and mood after analysing the captured image with knowledge base. Findings: The result is produced in the form of classes which tells the behavior and other characteristics of the person. There are 3 main classes that describe the behavior of the person that is: Positive mood, Negative mood and Neutral mood. These three gestures are matched in the database. Name of gestures are passed to fuzzy system and fuzzy system will produce the result. Application/Improvements: This system can be used to identify the behavior of a person. So it can be used to identify any criminals and terrorists.This proposed system can be used to analyse psychological behaviour of human being which may help in different medical treatments.Keywords
Fuzzy System, Frame of Mind Identification, Gesture Recognition, Image Processing, Psychological Behaviour Tracing.Full Text