Pub Date : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687860
Ganesh A Siva Raja, Maddi Siddart, S. Kashyap, P. Ramadevi
Content Based Image Retrieval (CBIR) systems are used to retrieve similar images to the query image from a large database. This paper represents a CBIR model which has been tested with multiple feature descriptors such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), Binary Robust Independent Elementary Features (BRIEF), Oriented FAST and rotated BRIEF (ORB) and combinations of them. Multiple linguistic processing techniques such as Bag of Words and Topic modelling have been used for optimizing the image retrieval and making them meaningful based on human semantics. Using a combination of descriptors and Latent Dirichlet Allocation, our model has proven to yield high precision when tested against standard image retrieval data set.
{"title":"Comprehensive Analysis of Fused Descriptors for Image Retrieval","authors":"Ganesh A Siva Raja, Maddi Siddart, S. Kashyap, P. Ramadevi","doi":"10.1109/CENTCON52345.2021.9687860","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687860","url":null,"abstract":"Content Based Image Retrieval (CBIR) systems are used to retrieve similar images to the query image from a large database. This paper represents a CBIR model which has been tested with multiple feature descriptors such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), Binary Robust Independent Elementary Features (BRIEF), Oriented FAST and rotated BRIEF (ORB) and combinations of them. Multiple linguistic processing techniques such as Bag of Words and Topic modelling have been used for optimizing the image retrieval and making them meaningful based on human semantics. Using a combination of descriptors and Latent Dirichlet Allocation, our model has proven to yield high precision when tested against standard image retrieval data set.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126957547","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688241
Hari Chandan T., S. Nagaraju, Bharath Nandan Varma, K. M., M. S, Mukund K. V.
Vehicle over-speed detection and accident-avoidance system is an Internet of Things (IoT) based system which collects data via sensors such as ultrasonic sensors and alerts the driver. The sensor is mounted upon a microcontroller i.e. Arduino which is responsible for the sensors to work. This system consists of an Ultrasonic Sensor, Arduino UNO, Potentiometer, CAN Controller, DC Motor, GSM, LCD display and a buzzer. The ultrasonic sensor detects the object/vehicle ahead of the vehicle and sends the data to Arduino UNO, if a particular vehicle is in close proximity to the front vehicle, the proposed system automatically controls the vehicle speed. This system also consists of an over-speed detection, which detects the speed and alerts the driver if the vehicle reaches a specific speed limit. Also, in the proposed system in case if driver overspeeds, an SMS alert would be sent to cab company or car rental agency concerned person's cellphone.
{"title":"IoT based Vehicle Over-Speed Detection and Accident Avoidance System","authors":"Hari Chandan T., S. Nagaraju, Bharath Nandan Varma, K. M., M. S, Mukund K. V.","doi":"10.1109/CENTCON52345.2021.9688241","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688241","url":null,"abstract":"Vehicle over-speed detection and accident-avoidance system is an Internet of Things (IoT) based system which collects data via sensors such as ultrasonic sensors and alerts the driver. The sensor is mounted upon a microcontroller i.e. Arduino which is responsible for the sensors to work. This system consists of an Ultrasonic Sensor, Arduino UNO, Potentiometer, CAN Controller, DC Motor, GSM, LCD display and a buzzer. The ultrasonic sensor detects the object/vehicle ahead of the vehicle and sends the data to Arduino UNO, if a particular vehicle is in close proximity to the front vehicle, the proposed system automatically controls the vehicle speed. This system also consists of an over-speed detection, which detects the speed and alerts the driver if the vehicle reaches a specific speed limit. Also, in the proposed system in case if driver overspeeds, an SMS alert would be sent to cab company or car rental agency concerned person's cellphone.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128056165","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687937
Chandran Nandkumar, Pranshu Shukla, Viren Varma
This paper proposes a method for indoor localization and navigation of Turtlebot 3 using Real Time Object Detection (RTOD). The robot is capable of recognizing the room it is placed inside based on the knowledge of positions of certain fixed arbitrary objects. The robot then proceeds to understand its position inside the room and is capable of moving to other locations. The robot is simulated using the ROS and Gazebo framework. The RTOD is trained to identify certain distinct objects like a rover, bowl, quadcopter and wheel based on which the robot is able to ascertain its location.
提出了一种基于实时目标检测(Real Time Object Detection, RTOD)的Turtlebot 3室内定位与导航方法。机器人能够基于某些固定任意物体的位置知识来识别它所在的房间。然后，机器人继续了解自己在房间内的位置，并能够移动到其他位置。利用ROS和Gazebo框架对机器人进行仿真。RTOD经过训练，可以识别某些不同的物体，如漫游者、碗、四轴飞行器和轮子，机器人可以根据这些物体确定自己的位置。
{"title":"Simulation of Indoor Localization and Navigation of Turtlebot 3 using Real Time Object Detection","authors":"Chandran Nandkumar, Pranshu Shukla, Viren Varma","doi":"10.1109/CENTCON52345.2021.9687937","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687937","url":null,"abstract":"This paper proposes a method for indoor localization and navigation of Turtlebot 3 using Real Time Object Detection (RTOD). The robot is capable of recognizing the room it is placed inside based on the knowledge of positions of certain fixed arbitrary objects. The robot then proceeds to understand its position inside the room and is capable of moving to other locations. The robot is simulated using the ROS and Gazebo framework. The RTOD is trained to identify certain distinct objects like a rover, bowl, quadcopter and wheel based on which the robot is able to ascertain its location.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131382776","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688057
K. B, R. N., Maniunatha K N, Girish P
Aircraft landing is a very important aspect for any aircraft be it a civil or a passenger aircraft. The key obstacle in aircraft is bad weather conditions such as fog, mist, rain. This makes it difficult for an aircraft to land accurately. The instrument landing system (ILS) is a ground-based approach that gives planes approaching the runway precise direction. To ensure a safe landing in bad weather, it uses a combination of high intensity lighting arrays and radio signals. The gliding scope array offers vertical guidance while the localizer provides lateral guidance. The marking beacons serve as a check on the guide slope's proper operation. The main objective is to minimize the systems to provide the same enhanced functionality. By comparing the proposed design of ILS with IoT to the existing GPS based system gives improved accuracy in terms of horizontal and vertical landing of an aircraft.
{"title":"Design of IoT based Instrument Landing System","authors":"K. B, R. N., Maniunatha K N, Girish P","doi":"10.1109/CENTCON52345.2021.9688057","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688057","url":null,"abstract":"Aircraft landing is a very important aspect for any aircraft be it a civil or a passenger aircraft. The key obstacle in aircraft is bad weather conditions such as fog, mist, rain. This makes it difficult for an aircraft to land accurately. The instrument landing system (ILS) is a ground-based approach that gives planes approaching the runway precise direction. To ensure a safe landing in bad weather, it uses a combination of high intensity lighting arrays and radio signals. The gliding scope array offers vertical guidance while the localizer provides lateral guidance. The marking beacons serve as a check on the guide slope's proper operation. The main objective is to minimize the systems to provide the same enhanced functionality. By comparing the proposed design of ILS with IoT to the existing GPS based system gives improved accuracy in terms of horizontal and vertical landing of an aircraft.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130988016","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688055
Spoorthi K V, Nagaraj G Cholli
The term “Global software development” refers to the process of creating software program which reduces development cost in any company. GSD helps agencies to leverage the blessings of multi-site improvement with respect to time, value and access to skilful aid. Current research shows that half of the businesses which have attempted international software program development have not realized the anticipated results. Software program projects are increasing number from nations with high prices to reduced offshore countries. They continue to delight in poor overall performance issues because of the inherent complexity and unpredictability of computer program jobs. The main motivation to write survey paper is to identify GSD-related issues and also mitigating solutions. This paper discusses the idea of early caution signs (EWS) to improve mission achievement rates, mainly in the precise onshore-offshore undertaking environment, which is exposed to higher task dangers. EWS provides a way to undertake assessment during initial stages. Several techniques and measures are recommended to control the failure of the project. As a result, understanding the potential difficulties and possible mitigation methods for GSD is critical to a project's success. This structure can be used as a starting point for further study of GSD.
{"title":"Early Warning Signs of Resourcing in Global Software Development Projects","authors":"Spoorthi K V, Nagaraj G Cholli","doi":"10.1109/CENTCON52345.2021.9688055","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688055","url":null,"abstract":"The term “Global software development” refers to the process of creating software program which reduces development cost in any company. GSD helps agencies to leverage the blessings of multi-site improvement with respect to time, value and access to skilful aid. Current research shows that half of the businesses which have attempted international software program development have not realized the anticipated results. Software program projects are increasing number from nations with high prices to reduced offshore countries. They continue to delight in poor overall performance issues because of the inherent complexity and unpredictability of computer program jobs. The main motivation to write survey paper is to identify GSD-related issues and also mitigating solutions. This paper discusses the idea of early caution signs (EWS) to improve mission achievement rates, mainly in the precise onshore-offshore undertaking environment, which is exposed to higher task dangers. EWS provides a way to undertake assessment during initial stages. Several techniques and measures are recommended to control the failure of the project. As a result, understanding the potential difficulties and possible mitigation methods for GSD is critical to a project's success. This structure can be used as a starting point for further study of GSD.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117287698","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687889
C. Krishna, B. A. Pravalli, S. J. Rao, N. Murthy
In this paper, modified elliptical antenna is designed on FR - 4 epoxy substrate material having dielectric constant 4.4 and its loss tangent 0.02 is proposed for wideband applications. Conventional elliptical patch antenna with Co-planar waveguide (CPW) feed attains Ultra - wide band (UWB) characteristics ranging from 5.70 - 13.96GHz to cover C - & X - band applications. Elliptical geometry can be modified into rings shape to obtain impedance bandwidth (IBW) 1.32GHz and 1.18GHz at dual resonances 6.44GHz and 9.04GHz. In order to enhance the wideband by employing concentric ring inside the elliptic structure in addition by loading stubs. This proposed design achieves tri-wide band characteristics having impedance bandwidths 460MHz (3.83-4.29GHz), 1.83GHz (4.62-6.45GHz), 9.03GHz (7.45-16.5GHz) respectively at 4.05GHz, 5.96GHz and 14.42GHz. The proposed antenna has unique and omni -directional radiation characteristics with negligible side lobes. The proposed antenna overs C - band (WiMax, WLAN), X - band (Satellite and radar communication) and Ku-band such as weather and ship radars applications.
{"title":"Wideband characteristics of Modified Elliptical Monopole Antenna Fed with CPW for Wideband Applications","authors":"C. Krishna, B. A. Pravalli, S. J. Rao, N. Murthy","doi":"10.1109/CENTCON52345.2021.9687889","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687889","url":null,"abstract":"In this paper, modified elliptical antenna is designed on FR - 4 epoxy substrate material having dielectric constant 4.4 and its loss tangent 0.02 is proposed for wideband applications. Conventional elliptical patch antenna with Co-planar waveguide (CPW) feed attains Ultra - wide band (UWB) characteristics ranging from 5.70 - 13.96GHz to cover C - & X - band applications. Elliptical geometry can be modified into rings shape to obtain impedance bandwidth (IBW) 1.32GHz and 1.18GHz at dual resonances 6.44GHz and 9.04GHz. In order to enhance the wideband by employing concentric ring inside the elliptic structure in addition by loading stubs. This proposed design achieves tri-wide band characteristics having impedance bandwidths 460MHz (3.83-4.29GHz), 1.83GHz (4.62-6.45GHz), 9.03GHz (7.45-16.5GHz) respectively at 4.05GHz, 5.96GHz and 14.42GHz. The proposed antenna has unique and omni -directional radiation characteristics with negligible side lobes. The proposed antenna overs C - band (WiMax, WLAN), X - band (Satellite and radar communication) and Ku-band such as weather and ship radars applications.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130906147","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687979
M. Pranav, C. Koushik, Shreyas Madhav A V, S. Ganapathy
Cancerous skin lesions affect millions of people worldwide each year and is one of the most treatable forms of cancer. While intensive biopsy testing and processing is required to confirm the presence of a malignant skin lesion, the detection of skin lesions by dermatologists on the primary level has always been based upon visual markers and sight-based perception based upon a defined set of diagnostic rules. The automation of this classification process has been achieved in the past for traditional machine learning algorithms and novel deep networks but faces challenges when the diagnosis is performed upon images of varied illumination and spatial orientation. This paper proposes a novel ensemble approach towards skin lesion classification by employing transfer learned pretrained deep learning image networks for the automated diagnosis process. Popular ImageNet Trained Networks such as DenseNet, Inception ResNetV2, VGG16 and MobileNet have been individually fine-tuned, tested and evaluated for identifying the type of skin lesion. A final integration of the best ensemble combination was performed based upon a search- based strategy to find the optimal combination for maximal reliability. The system was tested against benchmark datasets including HAM1000 and ISIC, showcasing an accuracy of 90%, precision of 0.895, and recall of 0.89 and the proposed combinational network showcases significantly better results than several existent state of the art skin cancer classification models in terms of accuracy, precision and recall.
{"title":"Analyzing the Diagnostic Efficacy of Deep Vision Networks for Malignant Skin Lesion Recognition","authors":"M. Pranav, C. Koushik, Shreyas Madhav A V, S. Ganapathy","doi":"10.1109/CENTCON52345.2021.9687979","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687979","url":null,"abstract":"Cancerous skin lesions affect millions of people worldwide each year and is one of the most treatable forms of cancer. While intensive biopsy testing and processing is required to confirm the presence of a malignant skin lesion, the detection of skin lesions by dermatologists on the primary level has always been based upon visual markers and sight-based perception based upon a defined set of diagnostic rules. The automation of this classification process has been achieved in the past for traditional machine learning algorithms and novel deep networks but faces challenges when the diagnosis is performed upon images of varied illumination and spatial orientation. This paper proposes a novel ensemble approach towards skin lesion classification by employing transfer learned pretrained deep learning image networks for the automated diagnosis process. Popular ImageNet Trained Networks such as DenseNet, Inception ResNetV2, VGG16 and MobileNet have been individually fine-tuned, tested and evaluated for identifying the type of skin lesion. A final integration of the best ensemble combination was performed based upon a search- based strategy to find the optimal combination for maximal reliability. The system was tested against benchmark datasets including HAM1000 and ISIC, showcasing an accuracy of 90%, precision of 0.895, and recall of 0.89 and the proposed combinational network showcases significantly better results than several existent state of the art skin cancer classification models in terms of accuracy, precision and recall.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122700421","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688242
Rajratan Gupta
This paper is based on theory of technology acceptance model (TAM) approach and tries to explore the use of M-learning based on the technology acceptance model. This paper investigates what role the perceived usefulness, perceived ease of use along-with one more factor the facilitating conditions play towards determining the behavioral intention to use of M-learning by university students. This study found that all three factors have a positive effect on the use of M-learning by university students. Further, perceived ease of use factor has been found as most influencing factor affecting the use of M-learning. The findings and suggestions of this study would be helpful in developing appropriate mechanism / policy / guidelines aiming to improve the overall learning experience of students by using the M-learning approach.
{"title":"Investigating the Factors affecting use of Mobile Learning (M-learning) among Students of Higher Education Institutions","authors":"Rajratan Gupta","doi":"10.1109/CENTCON52345.2021.9688242","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688242","url":null,"abstract":"This paper is based on theory of technology acceptance model (TAM) approach and tries to explore the use of M-learning based on the technology acceptance model. This paper investigates what role the perceived usefulness, perceived ease of use along-with one more factor the facilitating conditions play towards determining the behavioral intention to use of M-learning by university students. This study found that all three factors have a positive effect on the use of M-learning by university students. Further, perceived ease of use factor has been found as most influencing factor affecting the use of M-learning. The findings and suggestions of this study would be helpful in developing appropriate mechanism / policy / guidelines aiming to improve the overall learning experience of students by using the M-learning approach.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123063521","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688289
Chongtham Cha Chinglemba, Primakov Chungkham
Using deep learning in image segmentation is gaining popularity with many industries adopting it and many researchers working to improve its performance. One of the areas where image segmentation is used is in medical image segmentation where a region of interest is segmented from a medical image. One of the key aspects that determine the performance of a deep learning model used to perform segmentation task is its loss functions used in training the model. This paper aims to compare the performances of a unet model in segmenting the vessels of a fundus image using different popularly used loss functions. Combinations of some of the loss functions are also used to train the model and their performances are also studied.
{"title":"Study of Loss Functions on Retinal Vessel Segmentation using UNET Architecture","authors":"Chongtham Cha Chinglemba, Primakov Chungkham","doi":"10.1109/CENTCON52345.2021.9688289","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688289","url":null,"abstract":"Using deep learning in image segmentation is gaining popularity with many industries adopting it and many researchers working to improve its performance. One of the areas where image segmentation is used is in medical image segmentation where a region of interest is segmented from a medical image. One of the key aspects that determine the performance of a deep learning model used to perform segmentation task is its loss functions used in training the model. This paper aims to compare the performances of a unet model in segmenting the vessels of a fundus image using different popularly used loss functions. Combinations of some of the loss functions are also used to train the model and their performances are also studied.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130362672","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688005
S. P
Technological advancement in wireless communications, wireless sensors and emergence of Internet of Things (IOT) has helped in improving the quality of life. Enabling technologies like Bluetooth low energy (BLE) is essential to lodge intelligence in the smart device. By combining BLE, IOT, wireless sensor networks and wireless communication simple and efficient smart devices can be designed and developed. This paper focuses on developing a distress monitoring system for geriatric people based on the stress levels they encounter or on their body posture under unsafe conditions. The unsafe conditions can either be an attack on them or some health-related issues. The system consists of a wrist band with sensors, fall detector, bracelet camera and a smart phone to provide user interface.
{"title":"Camera based real time distress monitoring system for geriatric people","authors":"S. P","doi":"10.1109/CENTCON52345.2021.9688005","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688005","url":null,"abstract":"Technological advancement in wireless communications, wireless sensors and emergence of Internet of Things (IOT) has helped in improving the quality of life. Enabling technologies like Bluetooth low energy (BLE) is essential to lodge intelligence in the smart device. By combining BLE, IOT, wireless sensor networks and wireless communication simple and efficient smart devices can be designed and developed. This paper focuses on developing a distress monitoring system for geriatric people based on the stress levels they encounter or on their body posture under unsafe conditions. The unsafe conditions can either be an attack on them or some health-related issues. The system consists of a wrist band with sensors, fall detector, bracelet camera and a smart phone to provide user interface.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125315497","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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