Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101062
T. P. Kausalya Nandan, M. Anusha, M. Chinnaiah, P.Subramanyam Raju
This paper deals with the analysis of breathe signal using LabVIEW. Pranayama is practicing how to regulating the breath. It is one of the important components of yoga that improves physical and mental wellness. According to Sanskrit, Pranayama can be is combination of two words as Prama and Yama where “prana” refers to life energy and “Yama” indicates control. In this day to day life many are practicing Pranayama but most of us don't know how to do in a perfect manner. Improper practice will not lead to proper results. In this paper we propose an Analysis of breathe signal using LabVIEW for making people practice Pranayama in a perfect manner. This helps the practitioner, in controlling their breath by following the instructions specified through our proposed system. The system has been implemented using LabVIEW that helps to execute Text to Speech conversion. LabVIEW has inbuilt Speech library to realize the Text to Speech transformation. Different strategies and procedures are accessible for processing the speech signal. Here, a text box is made visible where the instructions are displayed and a timer is also made available to observe the amount of time they have spent. Heartbeat signals have been captured using an ECG sensor which is interfaced with the Arduino Uno board for the betterment in the process. Also, we report to show the difference in the breathe analysis of the subjects without our proposed system and in the presence of our proposed system.
{"title":"Development of Breathe Analysis Technique Using Labview","authors":"T. P. Kausalya Nandan, M. Anusha, M. Chinnaiah, P.Subramanyam Raju","doi":"10.1109/INOCON57975.2023.10101062","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101062","url":null,"abstract":"This paper deals with the analysis of breathe signal using LabVIEW. Pranayama is practicing how to regulating the breath. It is one of the important components of yoga that improves physical and mental wellness. According to Sanskrit, Pranayama can be is combination of two words as Prama and Yama where “prana” refers to life energy and “Yama” indicates control. In this day to day life many are practicing Pranayama but most of us don't know how to do in a perfect manner. Improper practice will not lead to proper results. In this paper we propose an Analysis of breathe signal using LabVIEW for making people practice Pranayama in a perfect manner. This helps the practitioner, in controlling their breath by following the instructions specified through our proposed system. The system has been implemented using LabVIEW that helps to execute Text to Speech conversion. LabVIEW has inbuilt Speech library to realize the Text to Speech transformation. Different strategies and procedures are accessible for processing the speech signal. Here, a text box is made visible where the instructions are displayed and a timer is also made available to observe the amount of time they have spent. Heartbeat signals have been captured using an ECG sensor which is interfaced with the Arduino Uno board for the betterment in the process. Also, we report to show the difference in the breathe analysis of the subjects without our proposed system and in the presence of our proposed system.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122310576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101192
Xiaobing Liao, Liping Wu
In this paper, dense convolutional self-coding block is proposed to extract multi-scale spatial features, and three connection modes are designed to realize feature reuse: intra-unit jump connection and inter-unit dense connection to realize short-term feature reuse mechanism; The inter-block hop connection realizes the long-term feature reuse mechanism. In this paper, a deep convolutional neural network for image super-resolution reconstruction is constructed based on dense convolutional self-coding block, and the network parameters are reduced through multi-scale supervised training, further improving the image reconstruction quality.
{"title":"Multi-View Image Reconstruction Algorithm Based on Virtual Reality Technology","authors":"Xiaobing Liao, Liping Wu","doi":"10.1109/INOCON57975.2023.10101192","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101192","url":null,"abstract":"In this paper, dense convolutional self-coding block is proposed to extract multi-scale spatial features, and three connection modes are designed to realize feature reuse: intra-unit jump connection and inter-unit dense connection to realize short-term feature reuse mechanism; The inter-block hop connection realizes the long-term feature reuse mechanism. In this paper, a deep convolutional neural network for image super-resolution reconstruction is constructed based on dense convolutional self-coding block, and the network parameters are reduced through multi-scale supervised training, further improving the image reconstruction quality.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114238608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101213
R. Sushmitha, K. Asha, J. Tejaswini, V. Hemanthakumari, K. Harshitha, N. K. Suryanarayana
In order to find a long-term solution to challenges such as rising energy demand for gasoline and diesel, as demand increased, so did the price, and environmental problems became more prevalent year after year. Before we lose control, we must accept responsibility for the future of our planet. As part of the search for alternative solutions, electric vehicles play a significant role in reducing energy demand and pollution. The use of electric vehicles will grow if and only if adequate charging facilities are available to meet the user’s needs. The electric vehicle should not break down due to battery problems therefore; battery management must be given importance when charging the electric vehicle. If we increase the availability of charging station like petrol and diesel availabilities in nearby places people will get attracted towards using of electric vehicles and dependency on fuel decreases, environmental issues will get solved, fast charging facility for three types of vehicles at one place will be provided. Many of the charging stations will not worry about the battery health while charging but in this system, we monitor battery health while charging and many other aspects of battery health. Installing this charging station will be very useful.
{"title":"Implementation of Electric Vehicles Charging Station and Battery Management System","authors":"R. Sushmitha, K. Asha, J. Tejaswini, V. Hemanthakumari, K. Harshitha, N. K. Suryanarayana","doi":"10.1109/INOCON57975.2023.10101213","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101213","url":null,"abstract":"In order to find a long-term solution to challenges such as rising energy demand for gasoline and diesel, as demand increased, so did the price, and environmental problems became more prevalent year after year. Before we lose control, we must accept responsibility for the future of our planet. As part of the search for alternative solutions, electric vehicles play a significant role in reducing energy demand and pollution. The use of electric vehicles will grow if and only if adequate charging facilities are available to meet the user’s needs. The electric vehicle should not break down due to battery problems therefore; battery management must be given importance when charging the electric vehicle. If we increase the availability of charging station like petrol and diesel availabilities in nearby places people will get attracted towards using of electric vehicles and dependency on fuel decreases, environmental issues will get solved, fast charging facility for three types of vehicles at one place will be provided. Many of the charging stations will not worry about the battery health while charging but in this system, we monitor battery health while charging and many other aspects of battery health. Installing this charging station will be very useful.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"95 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120914584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101037
Naga Datha Saikiran Battula, Harish Rohan Kambhampaty, Y. Vijayalata, R. N. Ashlin Deepa
An increase in research and awareness of neurological disorders has caused several medical practitioners to consider taking the assistance of AI/ML and reduce the recovery time for patients. MRI-based detection of neurological disorders has become popular in the field of bio-medical analytics. In this paper, a novel two-stage approach was proposed, which split the task of disease identification and severity identification from MRI data. The proposed two-stage approach benefits from improved efficiency due to automated simultaneous testing of multiple diseases. This reduces the time to diagnosis or diagnostic delay. The proposed two-stage approach was able to yield an accuracy of up to 94.29%, which was significantly better than the simpler one-stage approach while also being flexible to future upgrades.
{"title":"Deep-learning Residual Network Based Image Analysis for An Efficient Two-Stage Recognition of Neurological Disorders","authors":"Naga Datha Saikiran Battula, Harish Rohan Kambhampaty, Y. Vijayalata, R. N. Ashlin Deepa","doi":"10.1109/INOCON57975.2023.10101037","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101037","url":null,"abstract":"An increase in research and awareness of neurological disorders has caused several medical practitioners to consider taking the assistance of AI/ML and reduce the recovery time for patients. MRI-based detection of neurological disorders has become popular in the field of bio-medical analytics. In this paper, a novel two-stage approach was proposed, which split the task of disease identification and severity identification from MRI data. The proposed two-stage approach benefits from improved efficiency due to automated simultaneous testing of multiple diseases. This reduces the time to diagnosis or diagnostic delay. The proposed two-stage approach was able to yield an accuracy of up to 94.29%, which was significantly better than the simpler one-stage approach while also being flexible to future upgrades.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116117522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101130
Surendra Kumar Shukla, Vrince Vimal
Analysis of the computing process to improve the structure of the IT centre has to be highlighted in this research article. Therefore, research objectives are allowed to be highlighted in this portion. The proper methods, which are used in this research article, have to be highlighted. The overall discussion about the computing process has to e developed, moreover, the role of the IT service centre is allowed to be addressed within this article. The benefits and challenges of the IT service centre take place in this research article portion. On the other hand, the problem statement has to be highlighted and the overall conclusion is taken place within this portion.
{"title":"Analysis of the Contribution of Computing for The Development of IT Service Centre","authors":"Surendra Kumar Shukla, Vrince Vimal","doi":"10.1109/INOCON57975.2023.10101130","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101130","url":null,"abstract":"Analysis of the computing process to improve the structure of the IT centre has to be highlighted in this research article. Therefore, research objectives are allowed to be highlighted in this portion. The proper methods, which are used in this research article, have to be highlighted. The overall discussion about the computing process has to e developed, moreover, the role of the IT service centre is allowed to be addressed within this article. The benefits and challenges of the IT service centre take place in this research article portion. On the other hand, the problem statement has to be highlighted and the overall conclusion is taken place within this portion.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116743145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101122
Shagufta Md. R. Bagwan, Sanjay Kumar, Somnath B.Thigale
When it comes to identifying people automatically, bio-metrics is the field of study that uses observable traits of the human body, both innate and acquired, to do so. “Bio-metrics is a rapidly developing breakthrough that is being used to increase security and verify sensitive systems. A multimodal bio-metric system combines data from several sources to solve these issues and outperform a uni-modal system in terms of recognition accuracy. Since spoofing can’t be performed on many bio-metric sources at once, multimodal systems have a lower failure to enroll rate. As a level-based method, multimodal bio-metrics combines information at several stages, including sensing, features, matches, and decisions. Because it includes more substantive information, fusion at the score level delivers superior recognition performance, and it is both possible and practicable. The purpose of this study is to evaluate the efficacy of combining fingerprint, face, and iris bio-metrics based on matching score. The fusion rule and classification are carried out using three different soft computing methodologies; the SVM classifier, the sparse SVM classifier, and the rough set fuzzy classifier”.
{"title":"Face, Iris, and Fingerprint based Robust Biometric Authentication System","authors":"Shagufta Md. R. Bagwan, Sanjay Kumar, Somnath B.Thigale","doi":"10.1109/INOCON57975.2023.10101122","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101122","url":null,"abstract":"When it comes to identifying people automatically, bio-metrics is the field of study that uses observable traits of the human body, both innate and acquired, to do so. “Bio-metrics is a rapidly developing breakthrough that is being used to increase security and verify sensitive systems. A multimodal bio-metric system combines data from several sources to solve these issues and outperform a uni-modal system in terms of recognition accuracy. Since spoofing can’t be performed on many bio-metric sources at once, multimodal systems have a lower failure to enroll rate. As a level-based method, multimodal bio-metrics combines information at several stages, including sensing, features, matches, and decisions. Because it includes more substantive information, fusion at the score level delivers superior recognition performance, and it is both possible and practicable. The purpose of this study is to evaluate the efficacy of combining fingerprint, face, and iris bio-metrics based on matching score. The fusion rule and classification are carried out using three different soft computing methodologies; the SVM classifier, the sparse SVM classifier, and the rough set fuzzy classifier”.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121812036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The following manuscript consists of the work upon the topic of designing an efficient control method for a BLDC motor. A PID based control method has been proposed in the paper. We have considered two techniques for PID control i.e. Chiens-Hrones-Reswick method and Ziegler-Nichols method. The performance and results of the methods have been compared. A code algorithm has also been proposed to control the motor with the help of a microcontroller board.
{"title":"Design and Development of Dual Loop Motion Control System for BLDC motor","authors":"Abhirup Sarkar, Ayushman Khetan, Leonell John, H. Sabunwala, Eshan Gupta, Aditya Jain, Ajay Kumar, Neha Gupta","doi":"10.1109/INOCON57975.2023.10101075","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101075","url":null,"abstract":"The following manuscript consists of the work upon the topic of designing an efficient control method for a BLDC motor. A PID based control method has been proposed in the paper. We have considered two techniques for PID control i.e. Chiens-Hrones-Reswick method and Ziegler-Nichols method. The performance and results of the methods have been compared. A code algorithm has also been proposed to control the motor with the help of a microcontroller board.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125311865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101068
M. Suresh, V. A. N. Nikhilesh, N. R. S. Rao, K. P. Kumar, Geetha Dayalan
One of the key methods of learning that has proven to be effective is visual image learning. Humans are capable of grasping a visual scene in less than 1/10th of a second. This project, named GENTUTE (Generation of tutorial from education material), aims to help students understand subjects better through interactive, visual tutorials.GENTUTE intends to transform content into a series of visuals starting with chemistry experiments from high school. To do this, the experiment is provided as input in the form of text. It is then divided into discrete steps. Different attributes from the experiment have been extracted using a variety of NLP approaches. The Computer Graphics module then receives the necessary attributes for tutorial synthesis and uses the labelled dataset’s suitable images to create a meaningful lesson that almost exactly represents the origin segment. The entire website provides users with a pretty straightforward user experience while abstracting both the computer graphics and NLP modules.
学习的关键方法之一被证明是有效的是视觉图像学习。人类能够在不到十分之一秒的时间内捕捉到一个视觉场景。这个名为GENTUTE (Generation of tutorial from education material)的项目旨在通过互动式、可视化的教程帮助学生更好地理解学科。GENTUTE打算从高中的化学实验开始，将内容转化为一系列的视觉效果。为此，实验以文本形式提供输入。然后将其分成离散的步骤。使用各种NLP方法提取实验中的不同属性。计算机图形模块然后接收教程合成的必要属性，并使用标记的数据集的合适图像来创建几乎完全代表原点段的有意义的课程。整个网站为用户提供了一个相当直接的用户体验，同时抽象了计算机图形和NLP模块。
{"title":"Visualising Chemistry Experiments Using NLP and Computer Graphics","authors":"M. Suresh, V. A. N. Nikhilesh, N. R. S. Rao, K. P. Kumar, Geetha Dayalan","doi":"10.1109/INOCON57975.2023.10101068","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101068","url":null,"abstract":"One of the key methods of learning that has proven to be effective is visual image learning. Humans are capable of grasping a visual scene in less than 1/10th of a second. This project, named GENTUTE (Generation of tutorial from education material), aims to help students understand subjects better through interactive, visual tutorials.GENTUTE intends to transform content into a series of visuals starting with chemistry experiments from high school. To do this, the experiment is provided as input in the form of text. It is then divided into discrete steps. Different attributes from the experiment have been extracted using a variety of NLP approaches. The Computer Graphics module then receives the necessary attributes for tutorial synthesis and uses the labelled dataset’s suitable images to create a meaningful lesson that almost exactly represents the origin segment. The entire website provides users with a pretty straightforward user experience while abstracting both the computer graphics and NLP modules.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128028246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101373
Shatadal Ghosh, Abheesht Roy, N. Dasgupta, Manash Bagchi, Arnab Chatterjee, Niloy Kumar Das
Through the last decade, and particularly after the Covid period (2020 - 2022), crowd counting and localization have attracted much attention of AI researchers due to its potential applicability in crowd monitoring and control, public safety, space design, interactive content delivery etc. Once delivery objectives for a system are envisaged and the premises are fixed, we can always construct manifold technology architecture that delivers the set goals. However, in the Indian context a solution of choice needs to be optimized on frugality and ease of adaptability. In this paper we report an economic and replicable application of crowd counting and interactive content delivery in museums through unbiased knowledge systems embedded in robotic museum assistants. We intend to demonstrate a robotic system that can deliver any gallery content to groups of visitors keeping special focus on the exhibits that are popular choices. Crowd counting is used here to enable the content presentation to a group of choice in an interactive way. There are some market-ready solutions available for interactive gallery demonstration by moveable robots but they require not only huge capital investment but are also of limited use within controlled environments. Our proposed design is to multiplex an existing infrastructure of surveillance system as a smart crowd counting and gallery demonstration system along with crowd management with minimum additional hardware infusion.
{"title":"Interactive Communication Robot Handling Crowd Management and Content Delivery in Museums Employing Crowd Counting","authors":"Shatadal Ghosh, Abheesht Roy, N. Dasgupta, Manash Bagchi, Arnab Chatterjee, Niloy Kumar Das","doi":"10.1109/INOCON57975.2023.10101373","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101373","url":null,"abstract":"Through the last decade, and particularly after the Covid period (2020 - 2022), crowd counting and localization have attracted much attention of AI researchers due to its potential applicability in crowd monitoring and control, public safety, space design, interactive content delivery etc. Once delivery objectives for a system are envisaged and the premises are fixed, we can always construct manifold technology architecture that delivers the set goals. However, in the Indian context a solution of choice needs to be optimized on frugality and ease of adaptability. In this paper we report an economic and replicable application of crowd counting and interactive content delivery in museums through unbiased knowledge systems embedded in robotic museum assistants. We intend to demonstrate a robotic system that can deliver any gallery content to groups of visitors keeping special focus on the exhibits that are popular choices. Crowd counting is used here to enable the content presentation to a group of choice in an interactive way. There are some market-ready solutions available for interactive gallery demonstration by moveable robots but they require not only huge capital investment but are also of limited use within controlled environments. Our proposed design is to multiplex an existing infrastructure of surveillance system as a smart crowd counting and gallery demonstration system along with crowd management with minimum additional hardware infusion.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128047358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1109/INOCON57975.2023.10101174
Lovin D’Cruz, Vivishwan Dubey, P. Thakur
Technology has transformed communication on a global scale, and social media platforms like Twitter and Reddit have become crucial forums for discussing current events and sharing views. These platforms offer ample data for extracting user opinions, which can be examined through natural language processing and text analysis methods. This project uses these techniques to systematically discover, gather, measure, and examine emotional states and personal information in posts on Twitter and Reddit. Our primary goal is to predict depression in these posts, which is a significant public health concern. To achieve this, we use a combined dataset of Twitter and Reddit data. Our research aims to add to the increasing field of investigation on using social media data to comprehend and forecast mental health outcomes. By identifying patterns and trends in language use that may be indicative of depression, we hope to provide insights that can inform the development of interventions and support for individuals at risk of mental health challenges.
{"title":"Depression Prediction from Combined Reddit and Twitter Data using Machine Learning","authors":"Lovin D’Cruz, Vivishwan Dubey, P. Thakur","doi":"10.1109/INOCON57975.2023.10101174","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101174","url":null,"abstract":"Technology has transformed communication on a global scale, and social media platforms like Twitter and Reddit have become crucial forums for discussing current events and sharing views. These platforms offer ample data for extracting user opinions, which can be examined through natural language processing and text analysis methods. This project uses these techniques to systematically discover, gather, measure, and examine emotional states and personal information in posts on Twitter and Reddit. Our primary goal is to predict depression in these posts, which is a significant public health concern. To achieve this, we use a combined dataset of Twitter and Reddit data. Our research aims to add to the increasing field of investigation on using social media data to comprehend and forecast mental health outcomes. By identifying patterns and trends in language use that may be indicative of depression, we hope to provide insights that can inform the development of interventions and support for individuals at risk of mental health challenges.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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