Pub Date : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716590
P. Yaswanthram, B. A. Sabarish
Face Recognition is considered a biometric technique where it is capable of uniquely identifying and verifying a person just by analysing and comparing the facial patterns on the facial contours. Face Recognition has gained significant importance in security aspects and it has been widely used and accepted biometric. It has given greater importance during pandemic situations in terms of cheapest and widely accepted touchless biometrics. This paper studies the impact of dimensionality reduction on the efficiency or accuracy of machine learning algorithms in face recognition. The analysis is carried out over various algorithms include Random Forests, Support Vector Machine, Linear Regression, Logistic Regression, K-Nearest Neighbor. Based on the analysis, Logistic Regression gives better performance in terms of accuracy and time with an accuracy score of 0.97 within a time of 5.74 sec when implemented without principal component analysis whereas with principal component analysis, Logistic Regression achieved an accuracy score of 0.93 within a time of 0. 15sec. There is a huge difference in computation time approximately 20 times, the difference in accuracy is minimal.
{"title":"Face Recognition Using Machine Learning Models - Comparative Analysis and impact of dimensionality reduction","authors":"P. Yaswanthram, B. A. Sabarish","doi":"10.1109/ICAECC54045.2022.9716590","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716590","url":null,"abstract":"Face Recognition is considered a biometric technique where it is capable of uniquely identifying and verifying a person just by analysing and comparing the facial patterns on the facial contours. Face Recognition has gained significant importance in security aspects and it has been widely used and accepted biometric. It has given greater importance during pandemic situations in terms of cheapest and widely accepted touchless biometrics. This paper studies the impact of dimensionality reduction on the efficiency or accuracy of machine learning algorithms in face recognition. The analysis is carried out over various algorithms include Random Forests, Support Vector Machine, Linear Regression, Logistic Regression, K-Nearest Neighbor. Based on the analysis, Logistic Regression gives better performance in terms of accuracy and time with an accuracy score of 0.97 within a time of 5.74 sec when implemented without principal component analysis whereas with principal component analysis, Logistic Regression achieved an accuracy score of 0.93 within a time of 0. 15sec. There is a huge difference in computation time approximately 20 times, the difference in accuracy is minimal.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115937496","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716645
K. M. Saifuddin, G. D. Devanagavi
Sensors have a strong connection to the real world, which sets them apart from conventional networks in a major way. Through the use of a variety of sensing devices as well as the processing of raw data, sensor networks may detect & monitor physical phenomena occurring in the locations/regions where even the sensors are located or deployed. Physical phenomena linked with geographic locations/regions are much more important to users of wireless sensor networks over raw data from individual sensor nodes. Geospatial information is becoming more important in sensor networks and applications, and sensor nodes having GPS signal receivers become more widely available. Sensor nodes may also be located without GPS using a variety of localization methods. A location-aware sensor network is now possible thanks to these recent technological advancements. To address the issue of estimating the location and position among wireless sensor nodes, new approaches, techniques, and algorithms must be created. In order to achieve this goal, In this Paper, we are proposing a Distance Vector Hop (DV-Hop) algorithm that Significantly decreases the average of localization error of sensor nodes and which is a solution for localizing nodes having few adjacent anchors. simulation results prove that the proposed algorithm substantially reduces the average of localization error of sensor nodes
{"title":"DV-Hop Propagation Based Localization in Wireless Sensor Networks","authors":"K. M. Saifuddin, G. D. Devanagavi","doi":"10.1109/ICAECC54045.2022.9716645","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716645","url":null,"abstract":"Sensors have a strong connection to the real world, which sets them apart from conventional networks in a major way. Through the use of a variety of sensing devices as well as the processing of raw data, sensor networks may detect & monitor physical phenomena occurring in the locations/regions where even the sensors are located or deployed. Physical phenomena linked with geographic locations/regions are much more important to users of wireless sensor networks over raw data from individual sensor nodes. Geospatial information is becoming more important in sensor networks and applications, and sensor nodes having GPS signal receivers become more widely available. Sensor nodes may also be located without GPS using a variety of localization methods. A location-aware sensor network is now possible thanks to these recent technological advancements. To address the issue of estimating the location and position among wireless sensor nodes, new approaches, techniques, and algorithms must be created. In order to achieve this goal, In this Paper, we are proposing a Distance Vector Hop (DV-Hop) algorithm that Significantly decreases the average of localization error of sensor nodes and which is a solution for localizing nodes having few adjacent anchors. simulation results prove that the proposed algorithm substantially reduces the average of localization error of sensor nodes","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115036695","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716602
Mangu Aman Surya, P. H. Lakshmi, Kuruganti Madhu Sri, Amancherla Shanmukha Sai Saketh, Devendra J Patra Kailash, P. Tarun Sai, Parul Mathur, Vineetha Jain, Dhanesh G-Kurup
A simulation test-bed based on OpenGL graphics tool is developed for studying the telemetry communication link of aircraft with ground station. The smooth aircraft movement has been implemented using cubic spline algorithm and antenna beamforming algorithms has been used to track the aircraft movement by estimating the AoA (Angle of Arrival). The paper compares the performances of LMS (Least Mean Square) and RLS (Recursive Least Square) antenna beamforming algorithms to track the movement of aircraft in the presence of noise. The simulation test-bed was able to track the aircraft movement successfully for AOA of less than 75° with signal to noise ratio of more than 4dB.
{"title":"OpenGL Based Simulation Test Bed for Aircraft Ground Telemetry System using Antenna Beam Forming","authors":"Mangu Aman Surya, P. H. Lakshmi, Kuruganti Madhu Sri, Amancherla Shanmukha Sai Saketh, Devendra J Patra Kailash, P. Tarun Sai, Parul Mathur, Vineetha Jain, Dhanesh G-Kurup","doi":"10.1109/ICAECC54045.2022.9716602","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716602","url":null,"abstract":"A simulation test-bed based on OpenGL graphics tool is developed for studying the telemetry communication link of aircraft with ground station. The smooth aircraft movement has been implemented using cubic spline algorithm and antenna beamforming algorithms has been used to track the aircraft movement by estimating the AoA (Angle of Arrival). The paper compares the performances of LMS (Least Mean Square) and RLS (Recursive Least Square) antenna beamforming algorithms to track the movement of aircraft in the presence of noise. The simulation test-bed was able to track the aircraft movement successfully for AOA of less than 75° with signal to noise ratio of more than 4dB.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115270186","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716627
Suma S. Lonkadi, V. Varalakshmi, S. Raviprakash, Kamaljeet Singh, A. V. Nirmal
Defects visualization in bare chips and dice are important for realization of high reliable aerospace systems. Various defects such as cracks, voids, delamination, chip outs, dis-coloration, deep scratches can be detrimental in long term reliability of the Hybrid Microcircuits (HMCs). In spite of various standards in the realization of dice as well as various inspection formulating methodologies still probability of defects induced during fabrication and packaging need to be critically examined. Further handling and assembly of the dice can also induce certain defects due to various stresses which will impact on product quality. This paper provides an overview of various visual defects observed in bare dice and further tests and analysis to know the impact on electronic fabrication process.
{"title":"Defects Determination and Diagnosis in Bare Dice for High Reliable Hybrid Microcircuits","authors":"Suma S. Lonkadi, V. Varalakshmi, S. Raviprakash, Kamaljeet Singh, A. V. Nirmal","doi":"10.1109/ICAECC54045.2022.9716627","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716627","url":null,"abstract":"Defects visualization in bare chips and dice are important for realization of high reliable aerospace systems. Various defects such as cracks, voids, delamination, chip outs, dis-coloration, deep scratches can be detrimental in long term reliability of the Hybrid Microcircuits (HMCs). In spite of various standards in the realization of dice as well as various inspection formulating methodologies still probability of defects induced during fabrication and packaging need to be critically examined. Further handling and assembly of the dice can also induce certain defects due to various stresses which will impact on product quality. This paper provides an overview of various visual defects observed in bare dice and further tests and analysis to know the impact on electronic fabrication process.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461703","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716594
Ashwini Desai, Manasi Mathkar, Manav Nisar, G. Thampi
With the increasing number of customers willing to trade their data in exchange for lower premiums, harnessing customer and insurance data to generate a customized insurance product is a powerful concept. Personalization engines have very often been powered by machine learning algorithms and big data analytics. Customer data once collected, can be analyzed for insights and then utilized in decision making with the help of off-the-shelf or novel learning algorithms. One common barrier in this process is the problem of imbalanced insurance data which affects the accuracy of these algorithms. We have carried out a thorough analysis of the applications of various learning algorithms such as Random Forest, Bayesian Network, Neural Network, Apriori algorithm and so on. Through our paper, we aim to present a clear picture of the advancements in systems that deliver customized insurance products to customers while discussing how all of those approaches can be used to solve problems pervasive in the industry.
{"title":"Customizing Insurance Product Based On Customer Data Leveraging Learning Algorithms","authors":"Ashwini Desai, Manasi Mathkar, Manav Nisar, G. Thampi","doi":"10.1109/ICAECC54045.2022.9716594","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716594","url":null,"abstract":"With the increasing number of customers willing to trade their data in exchange for lower premiums, harnessing customer and insurance data to generate a customized insurance product is a powerful concept. Personalization engines have very often been powered by machine learning algorithms and big data analytics. Customer data once collected, can be analyzed for insights and then utilized in decision making with the help of off-the-shelf or novel learning algorithms. One common barrier in this process is the problem of imbalanced insurance data which affects the accuracy of these algorithms. We have carried out a thorough analysis of the applications of various learning algorithms such as Random Forest, Bayesian Network, Neural Network, Apriori algorithm and so on. Through our paper, we aim to present a clear picture of the advancements in systems that deliver customized insurance products to customers while discussing how all of those approaches can be used to solve problems pervasive in the industry.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129633927","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716623
Venu Yarlagadda, R. Kapoor, K. Veeresham, O. Sobhana
The exponential growth of everlasting power demand, the management of power grid is easy with the increased usage of EHV and UHV Transmission systems. The performance of Power Transmission and distribution can be improved with the usage of FACTS Devices. The GTO Thyristor Turn off Series Capacitor (GCSC) is a powerful device among all FACTS Devices to control power flow and stability improvement. This article realized the fact of effectiveness of the GCSC in improving the power flow and stability of EHV, UHV and distribution systems. The EHV, UHV Transmission systems as well as distribution systems have been simulated with operating voltages of 1500KV, 1200KV, 800KV, 400KV, 220KV, 132KV and 11KV. All these systems have been simulated without and with GCSC and results have been presented in this article. The simulation results prove the power transfer and stability have been improved substantially with the open loop as well as closed loop controls of GCSC.
{"title":"Power Flow Control and Stability Improvement of EHV and UHV Transmission and Distribution Systems with Closed Loop Control of GCSC","authors":"Venu Yarlagadda, R. Kapoor, K. Veeresham, O. Sobhana","doi":"10.1109/ICAECC54045.2022.9716623","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716623","url":null,"abstract":"The exponential growth of everlasting power demand, the management of power grid is easy with the increased usage of EHV and UHV Transmission systems. The performance of Power Transmission and distribution can be improved with the usage of FACTS Devices. The GTO Thyristor Turn off Series Capacitor (GCSC) is a powerful device among all FACTS Devices to control power flow and stability improvement. This article realized the fact of effectiveness of the GCSC in improving the power flow and stability of EHV, UHV and distribution systems. The EHV, UHV Transmission systems as well as distribution systems have been simulated with operating voltages of 1500KV, 1200KV, 800KV, 400KV, 220KV, 132KV and 11KV. All these systems have been simulated without and with GCSC and results have been presented in this article. The simulation results prove the power transfer and stability have been improved substantially with the open loop as well as closed loop controls of GCSC.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132419630","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716644
K. Sudharshan, A. R. Bhavya
With IoT applications being extensively used in our day to day lives, managing the power consumption of IoT devices has become a genuine concern. Specifically, IoT devices that are used in remote locations without grid availability poses a more difficult challenge in managing power consumption. Since IoT devices are usually compact and the batteries used in these are smaller ones like coin cells and prismatic cells, their mili ampere hour is as low as 150mah and expected operating life is up to 2 years. To reach battery life of 2 years it is essential to operate the device in low power modes of the processor while also performing the function seamlessly. This research is targeted towards identifying various methodologies that assists in the reduction of power consumption in Battery operated IoT devices, especially in the IoT processor via hardware and firmware protocols.
{"title":"Hardware and Software method to Reduce Power Consumption in Battery Operated IoT Devices","authors":"K. Sudharshan, A. R. Bhavya","doi":"10.1109/ICAECC54045.2022.9716644","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716644","url":null,"abstract":"With IoT applications being extensively used in our day to day lives, managing the power consumption of IoT devices has become a genuine concern. Specifically, IoT devices that are used in remote locations without grid availability poses a more difficult challenge in managing power consumption. Since IoT devices are usually compact and the batteries used in these are smaller ones like coin cells and prismatic cells, their mili ampere hour is as low as 150mah and expected operating life is up to 2 years. To reach battery life of 2 years it is essential to operate the device in low power modes of the processor while also performing the function seamlessly. This research is targeted towards identifying various methodologies that assists in the reduction of power consumption in Battery operated IoT devices, especially in the IoT processor via hardware and firmware protocols.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126928036","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}
In today’s day and time, video streaming has become an integral part of one’s life and it won’t be long enough before videos become the most consumed entity in the world. Due to such consumption standards, it is also important to determine if the video being streamed is appropriate for the audience. The project assesses the sentiments of the video and provides users with categorical sentiment scores to effectively judge the appropriateness of the video. Contemporarily, people often find the need to get relevant information being targeted rather than wasting time on unnecessary video sections. Perennially, YouTube chrome extensions primarily focus on YouTube channels and provide insights to the channel creator. In contrast to this, the proposed system intends to target the video genre, feasibility, relevance and at the same time generates entities to help navigate the user to relevant video sections. People fall back to YouTube video reviews to find feasibility of investing in a particular product they are interested in. With such a high user base for YouTube streaming, it becomes a hotspot for business opportunities to grow. Keeping this in mind the project aims to provide business insights in form of reddit discussion forums scanning the genre and central idea of the video being streamed, thus providing them with better public reviews and insights. To tackle this, it is viable to create a Chrome Extension for the user to leverage an unobstructive YouTube streaming experience.
{"title":"YouTube Assistant for Quick Navigation and Content Moderation","authors":"Jash Shah, Mihir Shah, Heth Gala, Jenish Hirpara, Prof. Aruna Gawade","doi":"10.1109/ICAECC54045.2022.9716634","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716634","url":null,"abstract":"In today’s day and time, video streaming has become an integral part of one’s life and it won’t be long enough before videos become the most consumed entity in the world. Due to such consumption standards, it is also important to determine if the video being streamed is appropriate for the audience. The project assesses the sentiments of the video and provides users with categorical sentiment scores to effectively judge the appropriateness of the video. Contemporarily, people often find the need to get relevant information being targeted rather than wasting time on unnecessary video sections. Perennially, YouTube chrome extensions primarily focus on YouTube channels and provide insights to the channel creator. In contrast to this, the proposed system intends to target the video genre, feasibility, relevance and at the same time generates entities to help navigate the user to relevant video sections. People fall back to YouTube video reviews to find feasibility of investing in a particular product they are interested in. With such a high user base for YouTube streaming, it becomes a hotspot for business opportunities to grow. Keeping this in mind the project aims to provide business insights in form of reddit discussion forums scanning the genre and central idea of the video being streamed, thus providing them with better public reviews and insights. To tackle this, it is viable to create a Chrome Extension for the user to leverage an unobstructive YouTube streaming experience.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124762675","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716690
Ranjith Kumar Gatla, N. V. Prasad K, Jiang-hua Lu, Mahesh Thati, D. Kumar, D. S. M. Rao, K. Reddy
In this decade, Cascaded Multilevel Inverter (CMLI) industry claps the pledge with substantial progress and significant accomplishments to improve the performance, evaluation, development and establishment of inverters in renewable energy sources, electrical machine drives and mechanical drive applications and so on. Fault diagnosis in multilevel inverters has taken worthwhile attention into account in this era. This paper evaluates the performance of the five-level CMLI with various fault conditions. The performance evaluation of the CMLI has been done by considering the occurrence of single and multiple switch faults with RL load condition. In RL-Load condition, the current and voltage behavior of the IGBT module at each voltage level have been analyzed at different fault conditions.
{"title":"Performance Evaluation of CMLI with Various Fault Conditions","authors":"Ranjith Kumar Gatla, N. V. Prasad K, Jiang-hua Lu, Mahesh Thati, D. Kumar, D. S. M. Rao, K. Reddy","doi":"10.1109/ICAECC54045.2022.9716690","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716690","url":null,"abstract":"In this decade, Cascaded Multilevel Inverter (CMLI) industry claps the pledge with substantial progress and significant accomplishments to improve the performance, evaluation, development and establishment of inverters in renewable energy sources, electrical machine drives and mechanical drive applications and so on. Fault diagnosis in multilevel inverters has taken worthwhile attention into account in this era. This paper evaluates the performance of the five-level CMLI with various fault conditions. The performance evaluation of the CMLI has been done by considering the occurrence of single and multiple switch faults with RL load condition. In RL-Load condition, the current and voltage behavior of the IGBT module at each voltage level have been analyzed at different fault conditions.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129436869","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716654
G. Selvamathiseelan, N. V. S. Pradyumna, N. N. V. Sai Prakash, V. Sudharsan Reddy, Sudha Yadav
The presented work proposes an interaction between human brain and laptop to control the devices used in home without having any touch of muscular body part. Brain Computer Interface (BCI) is one of the communication channels to make such a direct neural interface. The electronic sensor built into BCI headset captures and filters the raw brainwave signal which could be as Attention level (similar to concentration) and Meditation level (similar to relaxation), aided in control of home appliances (like bulb, fan), which is categorized under non-invasive method of brain signal measurement. This is being measured by NeuroSky Mindwave Headset. The Headset consists of EEG sensor (eSense meters) to capture the brain signal, which will be processed by using ThinkGear module in MATLAB. The devices have even access to Eye Blink, are akin to a standard on/off binary system and therefore are valuable for controls that require definitive responses. As a prototype, we have used one bulb and one fan.
{"title":"Brain Controlled Smart Home Automation System","authors":"G. Selvamathiseelan, N. V. S. Pradyumna, N. N. V. Sai Prakash, V. Sudharsan Reddy, Sudha Yadav","doi":"10.1109/ICAECC54045.2022.9716654","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716654","url":null,"abstract":"The presented work proposes an interaction between human brain and laptop to control the devices used in home without having any touch of muscular body part. Brain Computer Interface (BCI) is one of the communication channels to make such a direct neural interface. The electronic sensor built into BCI headset captures and filters the raw brainwave signal which could be as Attention level (similar to concentration) and Meditation level (similar to relaxation), aided in control of home appliances (like bulb, fan), which is categorized under non-invasive method of brain signal measurement. This is being measured by NeuroSky Mindwave Headset. The Headset consists of EEG sensor (eSense meters) to capture the brain signal, which will be processed by using ThinkGear module in MATLAB. The devices have even access to Eye Blink, are akin to a standard on/off binary system and therefore are valuable for controls that require definitive responses. As a prototype, we have used one bulb and one fan.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"16 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120851240","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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