International journal of engineering applied science and technology, Jul 1, 2021
In today's world stress has become a more familiar word because of its disastrous impact on the h... more In today's world stress has become a more familiar word because of its disastrous impact on the huge number of people worldwide. It is very important to keep stress under control every time, as it is the primitive reason for much major health issues. Some people meditate to g e t r i d o f i t and others choose to use medicines to control their stress levels. Students also found with very much stressed out because of academics, projects, exams, and whatnot. There are many ways through which one can check whether you have stress or not. According to this situation, the medical diagnosis system based on human physiology becomes more requisite as compared to others. Human physiology-based study plays a important character in the detection of mental stress in persons. There have also been eventual researches which are done on the detection of stress based on facial emotions. To find out whether stressed or not we need to see a doctor and get checked, but it seems to be not practical at all times to do so. In fact, in the era of digitalism, where everyone has a smartphone there is a dearth of finding novel ways through which we can make use of technology to detect your stress levels automatically. There are wearable devices that detect stress levels based on your body activity. Many approaches aim for the detection of stress through the use of wearable devices. The approach that we are presenting in this project is predicting stress through medical data of the patients using random forest regression. Additionally, an examination between oneself fabricated convolution neural model and a portion of the pre-trained models has been finished. This is another methodology and we are getting very promising precision by utilizing sufficient research experiments on 2000 irregular trees in the model. The results achieved are the outcomes of effectively anticipated with the accuracy utilizing the model. The outcomes of this research can be useful in directing the future which explores automated stress prediction-based systems.
International Journal of Engineering Research and, 2020
One of the biggest natural disasters India had ever faced was floods in Western Maharashtra in Au... more One of the biggest natural disasters India had ever faced was floods in Western Maharashtra in August 2005 and August 2019. The primary objective of this research is to provide an innovative and sustainable solution required to monitor flood situations and perform rescue operations in the worst affected Sangli, Kolhapur and Satara districts. This attempt aims at providing IoT-based flood detection and AI-based rescue operation through the system. This research makes use of Internet of Things and Artificial Intelligence technologies to provide a reliable and implementable solution for the above problem. This innovative approach uses Arduino Uno microcontroller for flood detection based on rise of water level, humidity, atmospheric pressure and temperature measured through BMP180 sensor. Raspberry Pi has been used for carrying out drone-based rescue operations by detecting the number of people stuck in flooded regions using YOLO object detection algorithm and notifying concerned autho...
2015 International Conference on Pervasive Computing (ICPC), 2015
The enterprises follow Agile Software Development methodology to because business requirements ch... more The enterprises follow Agile Software Development methodology to because business requirements changes frequently. In Agile Software Development methodology, it is essential to continuously integrate the component into a main trunk of a project to test the new component of the system. Then test all the component of the project; this happens frequently so it needs to stream line processes to orchestrate the tests. So it is difficult to manage the software development life cycle for those changes and maintain the software code quality. To maintain the product quality it is essential to integrate the product component and need to deploy a product on pre-production environment and test the product. Hence the need for Continuous Integration and Continuous Delivery process for software product. The popularization of DevOps, and cloud computing has revolutionized the software delivery process- making it faster and affordable for business to release their software continuously. Hence Enterprises need for reliable and predictable delivery process of software. The objective of the paper is to design an effective framework for automated testing and deployment to help to automate the code analysis, test selection, test scheduling, environment provisioning, test execution, results analysis and deployment pipeline. Test orchestration framework typically very complicated to develop such pipeline to make software reliable, and bug free. For environment provisioning can be provided through virtualization and cloud computing.
In recent years, fire accidents mainly in buildings are considerably increasing around the world.... more In recent years, fire accidents mainly in buildings are considerably increasing around the world. The reasons being due to overheating of pots and pan, improper way of keeping portable heaters, smoking in bedrooms, electrical equipment, candles near to explosive or flammable materials, faulty wiring, congested construction of the building and even due to increasing the number of population as well as improper light fittings. Fire outbreak is the third biggest risk to smart cities in India. According to the Indian Risk Survey (IRS) in 2018, 7.24% of accidents occur due to fire outbreaks [1]. So the demand of automation system to detect fire and take appropriate actions such as giving alerts as well as taking immediate action to reduce the intensity of fire has become obvious. In this zest, mainly two approaches are experimented and explored here. Primarily fire detection using machine learning approaches is achieved and also rule-based approach is employed with other relevant paramet...
International Journal of Engineering Applied Sciences and Technology
Personalized monitoring and its application is increasing with the advancement of technology. And... more Personalized monitoring and its application is increasing with the advancement of technology. And during pandemics its become very essential to keep an eye on the prone area and one of the area to identify was old age home. Dizziness, unconsciousness, and others are the common problems associated with elderly people due to weakness and this was also the symptoms of covid. So an unusual activity of falling of elderly people was very difficult to identify and also to monitor. The technology was updated till now to identify posture of normal activity such as running, walking, jumping and many but revert to that falling was an area need to explore. During the fall of an elderly person, the injuries are very fatal, and to void this case we proposed a design to identify the fall and try to notify the system about its fall. Although we try to predict the fall so that it becomes easy to monitor and provide medical help as soon as possible. The main theme is to identify the posture activity ...
In a mobile ad hoc network (MANET), frequent link breakage occures due to mobility of nodes which... more In a mobile ad hoc network (MANET), frequent link breakage occures due to mobility of nodes which leads to frequent route discoveries. This overhead of route discovery cannot be tolerated. Broadcasting is a fundamental data dissemination mechanism in a route discovery where mobile nodes blindly rebroadcast the RREQ packet unless it got route up to the destination. Thus it raises the broadcast storm issue. In this paper we are going to propose a protocol for reducing routing overhead in mobile ad hoc network.We propose rebroadcast delay to determine the rebroadcast order.We set a rebroadcast probability by aggregating additional coverage ratio and connectivity factor.This approach would combines the advantages of probabilistic mechanism and neighbor coverage knowledge which can reduce the number of retransmissions so as to decrease the routing overhead which will improve the packet delivery ratio.
Performance is one of the key factors in web application success. Nowadays, users Expect a steady... more Performance is one of the key factors in web application success. Nowadays, users Expect a steady availability and prompt response after their action. To meet with that expectation, our goal was to measure efficiency and effectiveness Calibration software. Calibration software is web-based calibration management tool that helps you maintain and control your calibration organization. Also manage the calibration of all measurement devices for the specified business location and set up a calibration work schedule for technicians. As part of this research used the JMeter tool and the Performance Monitor Tool to perform these tests. Study argue that the efficiency of calibration software can be significantly increased. In this research analyzed non-functional CTQs, described our approach for testing and measuring their functionality, and presented our results. Finally, this research calculates the total efficiency of each JMeter test case, using the weight given to each performance indic...
Pervasive computing is promising emerging endeavor which focuses on the capability for users to p... more Pervasive computing is promising emerging endeavor which focuses on the capability for users to perform daily computer activities unobtrusively. Pervasive computing solutions are broad to encompass variety of technologies and real life applications. It provides an environment for people to interact with embedded computers. Networked devices are aware of their surrounding objects, peers and are aimed to use or provide services from peers in an effective manner. Pervasive applications leverages the existing blend of computing elements that already surrounds us. It can enrich our lives by enabling automation of mundane activities through ubiquitous applicability. It facilitates users to move seamlessly and provides services regardless of location, time or platform collaboratively and proactively. To realize this notion, various frameworks and middleware technologies of context-aware systems are needed to be explored. This paper is an attempt to explore those especially for potential so...
2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016
Pattern discovery is the important part of knowledge discovery in Database, comes under Data mini... more Pattern discovery is the important part of knowledge discovery in Database, comes under Data mining. To discover useful patterns, association rule mining is one of the most popularized and revealing technique in data mining. Association rule mining plays a key role in decision making by discovering useful relations between attributes in the database. For this, first Frequent itemsets need to calculate followed by Candidate itemset. While generating frequent itemsets, frequent-1 itemset can be generated easily. But frequent 2-itemsets suffered from both time and space complexity. More overhead and space complexity occurred in a generation of frequent 2-itemset is the issue of this paper. For more I/O throughput it is essential to generate frequent itemsets as fast as possible and space eificient. To possible this, intermediate data generated by pairing each item with another item in itemset needs access of random read/write. To access random data for low latency, Apache HBase is the ...
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2018
We explore how computer vision methods can be utilized to identify engagement where person in vid... more We explore how computer vision methods can be utilized to identify engagement where person in video will be doing writing activity similar to the student doing writing activity in front of monitor. Person will be provided engagement annotations concurrently during the writing activity. We utilized one of computer vision method to extract features from videos that is local binary patterns in three orthogonal planes (LBP-TOP). These highlights were utilized as a part of managed learning for detection. KNN (K nearest neighbour) classifier was used to find classifying accuracy. Conventional camera was used to capture persons head movement activity to further create feature vector to produce best results.
The objects or the overview of the objects in a remote sensing image can be detected or generated... more The objects or the overview of the objects in a remote sensing image can be detected or generated directly through the use of basic K-means clustering method. ENVI, ERDAS IMAGINE are some of the software that can be used to get the work done on PCs. But the hurdle to process the large amount of remote sensing images is limitations of hardware resources and the processing time. The parallel or the distributed computing remains the right choice in such cases. In this paper, the efforts are put to make the algorithm parallel using Hadoop MapReduce, a distributed computing framework which is an open source programming model. The introductory part explains the color representation of remote sensing images. There is a need to convert the RGB pixel values to CIELAB color space which is more suitable for distinguishing colors. The overview of the traditional K-means is provided and in the later part programming model MapReduce and the Hadoop platform for K-Means is described. To achieve thi...
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2018
Nowday's healthcare is crucial part in the society. Almost every single person is struggling ... more Nowday's healthcare is crucial part in the society. Almost every single person is struggling with health related problems. By using previous research and survey we found that every disease is indirectly connected/related with the patient's emotional state or we can say mental health. So as per the literature survey user's emotions are performing the biggest role in his/her health. In today's world of technology where computers are utilized to recognizing human emotion states, but problem is that there are too many technologies are available for emotion detection such as image processing but they have few demerits, due to that it is difficult to recognize real emotion from the fake emotions. by seeing the growth of technological world this domain needs more attention and contribution of research. This paper proposes a system to make existing emotion detection more efficient. Bio sensors (Non Invasive) are used to collect emotion related data from human body. By utiliz...
Nowaday’s security is the main thing in all industries. The most serious thing facing the industr... more Nowaday’s security is the main thing in all industries. The most serious thing facing the industries which provide financial services and the retail markets is ATM physical attack. The industry which provides financial services and the retail markets lose their lots of money due to physical attack. Today, however, ATMs give a considerable measure of administrations to the clients; they are still dominatingly utilized for their essential capacity of pulling back cash. ATM security is the main issue that has been addressed in the proposed work by studying current scenarios where the traditional way is to take actions after an attack has occurred. But using the CCTV cameras present in the ATM we can prevent these attacks from happening. We can take actions before an incident is going to happen. The proposed system is an attempt to analyze the human in the ATM with the various parameters mentioned in this paper and send alert to the respective entity utilizing IOT platforms if he/she fo...
Elderly and disabled person activity recognition in smart home is actively topic for getting to c... more Elderly and disabled person activity recognition in smart home is actively topic for getting to changes in physical and behavioral profiles of person health . Different activity recognition solutions have been before now proposed to put into use system with some wearable sensors and smartphones. This work aims to provide automated system for (different from what's usually expected) condition detection and also send alert to the nearest family member of that person. For this system different Convolutional Neural Network (CNN) models such as CNN-VGG, AlexNet are going to be used. Internet of Things (IoT) is seen as new way of thinking, (totally changing and improving)by extending Internet connectivity to many physical objects connected with people (who use a product or service) daily life. In this paper, an Internet of Things (IoT) based activity recognition is proposed for activity supervising within (related to people who use a product or service) home
Nowadays, Facial Emotion Recognition is widely used and is an attractive area in affective comput... more Nowadays, Facial Emotion Recognition is widely used and is an attractive area in affective computing especially for computer vision with healthcare applications. Facial expressions change with respect to time and person in different instances. To find out the emotions automatically by computers, facial expressions perform the most important role and also aid for human–machine interfaces. Persons can be distinguished by facial expressions easily on time but for computers, it is still a challenge. Presented work proposes the emergence-based eigenface techniques. By using PCA (Principal Component Analysis), we can extract all relevant information present in frames where human faces are detected. We know that facial expressions are conveying emotions exactly. We use PCA to reduce the dimensionality of computations. In this process we are detecting face, extracting features, reducing dimensionality using PCA, and then classifying emotions using Euclidean distance metric and after that, w...
International journal of engineering applied science and technology, Jul 1, 2021
In today's world stress has become a more familiar word because of its disastrous impact on the h... more In today's world stress has become a more familiar word because of its disastrous impact on the huge number of people worldwide. It is very important to keep stress under control every time, as it is the primitive reason for much major health issues. Some people meditate to g e t r i d o f i t and others choose to use medicines to control their stress levels. Students also found with very much stressed out because of academics, projects, exams, and whatnot. There are many ways through which one can check whether you have stress or not. According to this situation, the medical diagnosis system based on human physiology becomes more requisite as compared to others. Human physiology-based study plays a important character in the detection of mental stress in persons. There have also been eventual researches which are done on the detection of stress based on facial emotions. To find out whether stressed or not we need to see a doctor and get checked, but it seems to be not practical at all times to do so. In fact, in the era of digitalism, where everyone has a smartphone there is a dearth of finding novel ways through which we can make use of technology to detect your stress levels automatically. There are wearable devices that detect stress levels based on your body activity. Many approaches aim for the detection of stress through the use of wearable devices. The approach that we are presenting in this project is predicting stress through medical data of the patients using random forest regression. Additionally, an examination between oneself fabricated convolution neural model and a portion of the pre-trained models has been finished. This is another methodology and we are getting very promising precision by utilizing sufficient research experiments on 2000 irregular trees in the model. The results achieved are the outcomes of effectively anticipated with the accuracy utilizing the model. The outcomes of this research can be useful in directing the future which explores automated stress prediction-based systems.
International Journal of Engineering Research and, 2020
One of the biggest natural disasters India had ever faced was floods in Western Maharashtra in Au... more One of the biggest natural disasters India had ever faced was floods in Western Maharashtra in August 2005 and August 2019. The primary objective of this research is to provide an innovative and sustainable solution required to monitor flood situations and perform rescue operations in the worst affected Sangli, Kolhapur and Satara districts. This attempt aims at providing IoT-based flood detection and AI-based rescue operation through the system. This research makes use of Internet of Things and Artificial Intelligence technologies to provide a reliable and implementable solution for the above problem. This innovative approach uses Arduino Uno microcontroller for flood detection based on rise of water level, humidity, atmospheric pressure and temperature measured through BMP180 sensor. Raspberry Pi has been used for carrying out drone-based rescue operations by detecting the number of people stuck in flooded regions using YOLO object detection algorithm and notifying concerned autho...
2015 International Conference on Pervasive Computing (ICPC), 2015
The enterprises follow Agile Software Development methodology to because business requirements ch... more The enterprises follow Agile Software Development methodology to because business requirements changes frequently. In Agile Software Development methodology, it is essential to continuously integrate the component into a main trunk of a project to test the new component of the system. Then test all the component of the project; this happens frequently so it needs to stream line processes to orchestrate the tests. So it is difficult to manage the software development life cycle for those changes and maintain the software code quality. To maintain the product quality it is essential to integrate the product component and need to deploy a product on pre-production environment and test the product. Hence the need for Continuous Integration and Continuous Delivery process for software product. The popularization of DevOps, and cloud computing has revolutionized the software delivery process- making it faster and affordable for business to release their software continuously. Hence Enterprises need for reliable and predictable delivery process of software. The objective of the paper is to design an effective framework for automated testing and deployment to help to automate the code analysis, test selection, test scheduling, environment provisioning, test execution, results analysis and deployment pipeline. Test orchestration framework typically very complicated to develop such pipeline to make software reliable, and bug free. For environment provisioning can be provided through virtualization and cloud computing.
In recent years, fire accidents mainly in buildings are considerably increasing around the world.... more In recent years, fire accidents mainly in buildings are considerably increasing around the world. The reasons being due to overheating of pots and pan, improper way of keeping portable heaters, smoking in bedrooms, electrical equipment, candles near to explosive or flammable materials, faulty wiring, congested construction of the building and even due to increasing the number of population as well as improper light fittings. Fire outbreak is the third biggest risk to smart cities in India. According to the Indian Risk Survey (IRS) in 2018, 7.24% of accidents occur due to fire outbreaks [1]. So the demand of automation system to detect fire and take appropriate actions such as giving alerts as well as taking immediate action to reduce the intensity of fire has become obvious. In this zest, mainly two approaches are experimented and explored here. Primarily fire detection using machine learning approaches is achieved and also rule-based approach is employed with other relevant paramet...
International Journal of Engineering Applied Sciences and Technology
Personalized monitoring and its application is increasing with the advancement of technology. And... more Personalized monitoring and its application is increasing with the advancement of technology. And during pandemics its become very essential to keep an eye on the prone area and one of the area to identify was old age home. Dizziness, unconsciousness, and others are the common problems associated with elderly people due to weakness and this was also the symptoms of covid. So an unusual activity of falling of elderly people was very difficult to identify and also to monitor. The technology was updated till now to identify posture of normal activity such as running, walking, jumping and many but revert to that falling was an area need to explore. During the fall of an elderly person, the injuries are very fatal, and to void this case we proposed a design to identify the fall and try to notify the system about its fall. Although we try to predict the fall so that it becomes easy to monitor and provide medical help as soon as possible. The main theme is to identify the posture activity ...
In a mobile ad hoc network (MANET), frequent link breakage occures due to mobility of nodes which... more In a mobile ad hoc network (MANET), frequent link breakage occures due to mobility of nodes which leads to frequent route discoveries. This overhead of route discovery cannot be tolerated. Broadcasting is a fundamental data dissemination mechanism in a route discovery where mobile nodes blindly rebroadcast the RREQ packet unless it got route up to the destination. Thus it raises the broadcast storm issue. In this paper we are going to propose a protocol for reducing routing overhead in mobile ad hoc network.We propose rebroadcast delay to determine the rebroadcast order.We set a rebroadcast probability by aggregating additional coverage ratio and connectivity factor.This approach would combines the advantages of probabilistic mechanism and neighbor coverage knowledge which can reduce the number of retransmissions so as to decrease the routing overhead which will improve the packet delivery ratio.
Performance is one of the key factors in web application success. Nowadays, users Expect a steady... more Performance is one of the key factors in web application success. Nowadays, users Expect a steady availability and prompt response after their action. To meet with that expectation, our goal was to measure efficiency and effectiveness Calibration software. Calibration software is web-based calibration management tool that helps you maintain and control your calibration organization. Also manage the calibration of all measurement devices for the specified business location and set up a calibration work schedule for technicians. As part of this research used the JMeter tool and the Performance Monitor Tool to perform these tests. Study argue that the efficiency of calibration software can be significantly increased. In this research analyzed non-functional CTQs, described our approach for testing and measuring their functionality, and presented our results. Finally, this research calculates the total efficiency of each JMeter test case, using the weight given to each performance indic...
Pervasive computing is promising emerging endeavor which focuses on the capability for users to p... more Pervasive computing is promising emerging endeavor which focuses on the capability for users to perform daily computer activities unobtrusively. Pervasive computing solutions are broad to encompass variety of technologies and real life applications. It provides an environment for people to interact with embedded computers. Networked devices are aware of their surrounding objects, peers and are aimed to use or provide services from peers in an effective manner. Pervasive applications leverages the existing blend of computing elements that already surrounds us. It can enrich our lives by enabling automation of mundane activities through ubiquitous applicability. It facilitates users to move seamlessly and provides services regardless of location, time or platform collaboratively and proactively. To realize this notion, various frameworks and middleware technologies of context-aware systems are needed to be explored. This paper is an attempt to explore those especially for potential so...
2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016
Pattern discovery is the important part of knowledge discovery in Database, comes under Data mini... more Pattern discovery is the important part of knowledge discovery in Database, comes under Data mining. To discover useful patterns, association rule mining is one of the most popularized and revealing technique in data mining. Association rule mining plays a key role in decision making by discovering useful relations between attributes in the database. For this, first Frequent itemsets need to calculate followed by Candidate itemset. While generating frequent itemsets, frequent-1 itemset can be generated easily. But frequent 2-itemsets suffered from both time and space complexity. More overhead and space complexity occurred in a generation of frequent 2-itemset is the issue of this paper. For more I/O throughput it is essential to generate frequent itemsets as fast as possible and space eificient. To possible this, intermediate data generated by pairing each item with another item in itemset needs access of random read/write. To access random data for low latency, Apache HBase is the ...
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2018
We explore how computer vision methods can be utilized to identify engagement where person in vid... more We explore how computer vision methods can be utilized to identify engagement where person in video will be doing writing activity similar to the student doing writing activity in front of monitor. Person will be provided engagement annotations concurrently during the writing activity. We utilized one of computer vision method to extract features from videos that is local binary patterns in three orthogonal planes (LBP-TOP). These highlights were utilized as a part of managed learning for detection. KNN (K nearest neighbour) classifier was used to find classifying accuracy. Conventional camera was used to capture persons head movement activity to further create feature vector to produce best results.
The objects or the overview of the objects in a remote sensing image can be detected or generated... more The objects or the overview of the objects in a remote sensing image can be detected or generated directly through the use of basic K-means clustering method. ENVI, ERDAS IMAGINE are some of the software that can be used to get the work done on PCs. But the hurdle to process the large amount of remote sensing images is limitations of hardware resources and the processing time. The parallel or the distributed computing remains the right choice in such cases. In this paper, the efforts are put to make the algorithm parallel using Hadoop MapReduce, a distributed computing framework which is an open source programming model. The introductory part explains the color representation of remote sensing images. There is a need to convert the RGB pixel values to CIELAB color space which is more suitable for distinguishing colors. The overview of the traditional K-means is provided and in the later part programming model MapReduce and the Hadoop platform for K-Means is described. To achieve thi...
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2018
Nowday's healthcare is crucial part in the society. Almost every single person is struggling ... more Nowday's healthcare is crucial part in the society. Almost every single person is struggling with health related problems. By using previous research and survey we found that every disease is indirectly connected/related with the patient's emotional state or we can say mental health. So as per the literature survey user's emotions are performing the biggest role in his/her health. In today's world of technology where computers are utilized to recognizing human emotion states, but problem is that there are too many technologies are available for emotion detection such as image processing but they have few demerits, due to that it is difficult to recognize real emotion from the fake emotions. by seeing the growth of technological world this domain needs more attention and contribution of research. This paper proposes a system to make existing emotion detection more efficient. Bio sensors (Non Invasive) are used to collect emotion related data from human body. By utiliz...
Nowaday’s security is the main thing in all industries. The most serious thing facing the industr... more Nowaday’s security is the main thing in all industries. The most serious thing facing the industries which provide financial services and the retail markets is ATM physical attack. The industry which provides financial services and the retail markets lose their lots of money due to physical attack. Today, however, ATMs give a considerable measure of administrations to the clients; they are still dominatingly utilized for their essential capacity of pulling back cash. ATM security is the main issue that has been addressed in the proposed work by studying current scenarios where the traditional way is to take actions after an attack has occurred. But using the CCTV cameras present in the ATM we can prevent these attacks from happening. We can take actions before an incident is going to happen. The proposed system is an attempt to analyze the human in the ATM with the various parameters mentioned in this paper and send alert to the respective entity utilizing IOT platforms if he/she fo...
Elderly and disabled person activity recognition in smart home is actively topic for getting to c... more Elderly and disabled person activity recognition in smart home is actively topic for getting to changes in physical and behavioral profiles of person health . Different activity recognition solutions have been before now proposed to put into use system with some wearable sensors and smartphones. This work aims to provide automated system for (different from what's usually expected) condition detection and also send alert to the nearest family member of that person. For this system different Convolutional Neural Network (CNN) models such as CNN-VGG, AlexNet are going to be used. Internet of Things (IoT) is seen as new way of thinking, (totally changing and improving)by extending Internet connectivity to many physical objects connected with people (who use a product or service) daily life. In this paper, an Internet of Things (IoT) based activity recognition is proposed for activity supervising within (related to people who use a product or service) home
Nowadays, Facial Emotion Recognition is widely used and is an attractive area in affective comput... more Nowadays, Facial Emotion Recognition is widely used and is an attractive area in affective computing especially for computer vision with healthcare applications. Facial expressions change with respect to time and person in different instances. To find out the emotions automatically by computers, facial expressions perform the most important role and also aid for human–machine interfaces. Persons can be distinguished by facial expressions easily on time but for computers, it is still a challenge. Presented work proposes the emergence-based eigenface techniques. By using PCA (Principal Component Analysis), we can extract all relevant information present in frames where human faces are detected. We know that facial expressions are conveying emotions exactly. We use PCA to reduce the dimensionality of computations. In this process we are detecting face, extracting features, reducing dimensionality using PCA, and then classifying emotions using Euclidean distance metric and after that, w...
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Papers by Anil R Surve