Accidents can happen in many kind of public transportation to all people. This main of this kind of accident is evacuate process of transportation accident like plane and ship, meanwhile the location of accident can not reach, in case like aircraft accident at mountain forest and shinking of ship in the middle of the sea. Exploration in the accident area will be difficult with terrain to access it from rescue team. Therefore UAV is needed, UAV must have capability to hover at deep forest and can cruise in the middle of ocean, so the rescue team can easily find it. The author design a quad plane with an estimation of the plane’s total weight is 4400 gram and have ability to hover using four vertical motor and cruise using one horizontal motor that placed in the behind of UAV. Whereas to make transition from hover mode to cruise mode it requires an airspeed sensor as the parameter to make transition so than the plane will not lose the lift force. From the results of flight tests, quad plane can make the transition from QHOVER mode to FBWA at 10 m/s, with an altitude at 34 meters, a flying distance of quad plane at 188 meters, and a maximum speed of quad plane is 25 m/s. The quad plane also able to release the payload in the form of first aid which is useful for providing first aid to survivors.
{"title":"Design of Quad Plane UAV with Carrier Gripper for First Aid of Victims from Aircraft Accident","authors":"Alif Habib Hidayatulloh, Indra Adji Sulstijono, Anhar Risnumawan, Nofria Hanafi","doi":"10.1109/IES50839.2020.9231846","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231846","url":null,"abstract":"Accidents can happen in many kind of public transportation to all people. This main of this kind of accident is evacuate process of transportation accident like plane and ship, meanwhile the location of accident can not reach, in case like aircraft accident at mountain forest and shinking of ship in the middle of the sea. Exploration in the accident area will be difficult with terrain to access it from rescue team. Therefore UAV is needed, UAV must have capability to hover at deep forest and can cruise in the middle of ocean, so the rescue team can easily find it. The author design a quad plane with an estimation of the plane’s total weight is 4400 gram and have ability to hover using four vertical motor and cruise using one horizontal motor that placed in the behind of UAV. Whereas to make transition from hover mode to cruise mode it requires an airspeed sensor as the parameter to make transition so than the plane will not lose the lift force. From the results of flight tests, quad plane can make the transition from QHOVER mode to FBWA at 10 m/s, with an altitude at 34 meters, a flying distance of quad plane at 188 meters, and a maximum speed of quad plane is 25 m/s. The quad plane also able to release the payload in the form of first aid which is useful for providing first aid to survivors.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128275910","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231778
Iis Nur Kumalasari, Ahmad Zainudin, Aries Pratiarso
GPS is widely extended to various scenarios, owing to its trust and utilities. The GPS on smartphones is more accurate than the GPS receivers. On average, modern smartphones are already using A-GPS to help the global navigation system quickly lock-in smartphone satellites. Although the GPS receiver is used for renewable technologies, such as automated drone applications for farming that require high accuracy, there is a clear need for large-scale precision farm monitoring to increase productivity to meet rising population demands. Drones need accurate GPS to map the agricultural land and precisely spray the land GPS Coordinate data from GPS receiver has often been due to inaccuracies caused by many different factors that GPS signals have made. The main cause of error affecting the accuracy and precision of GPS positioning is the lack of the number of satellites in the sky. We paid attention to the GPS calculation method itself. We adapted the Kalman filter to calculate the positioning of the GPS. Kalman filter is used by direct GPS measurements to make better location estimates than those given. The Kalman filter parameter has been adapted to improve the accuracy and accuracy of SPS positioning in stand-alone mode in worse situations. The error can, therefore, be reduced by integrating the Kalman filter as a post-processing filter. The test result shows that Kalman Filter produces a position that is more accurate than the covariance noise value parameter (R) = 10–6 and the covariance noise (Q) = 10–6.
{"title":"An Implementation of Accuracy Improvement for Low-Cost GPS Tracking Using Kalman Filter with Raspberry Pi","authors":"Iis Nur Kumalasari, Ahmad Zainudin, Aries Pratiarso","doi":"10.1109/IES50839.2020.9231778","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231778","url":null,"abstract":"GPS is widely extended to various scenarios, owing to its trust and utilities. The GPS on smartphones is more accurate than the GPS receivers. On average, modern smartphones are already using A-GPS to help the global navigation system quickly lock-in smartphone satellites. Although the GPS receiver is used for renewable technologies, such as automated drone applications for farming that require high accuracy, there is a clear need for large-scale precision farm monitoring to increase productivity to meet rising population demands. Drones need accurate GPS to map the agricultural land and precisely spray the land GPS Coordinate data from GPS receiver has often been due to inaccuracies caused by many different factors that GPS signals have made. The main cause of error affecting the accuracy and precision of GPS positioning is the lack of the number of satellites in the sky. We paid attention to the GPS calculation method itself. We adapted the Kalman filter to calculate the positioning of the GPS. Kalman filter is used by direct GPS measurements to make better location estimates than those given. The Kalman filter parameter has been adapted to improve the accuracy and accuracy of SPS positioning in stand-alone mode in worse situations. The error can, therefore, be reduced by integrating the Kalman filter as a post-processing filter. The test result shows that Kalman Filter produces a position that is more accurate than the covariance noise value parameter (R) = 10–6 and the covariance noise (Q) = 10–6.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126832433","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231899
Amang Sudarsono
Due to features of mobility and velocity of movement all nodes in Vehicular Ad-hoc Networks (VANETs), these infrastructureless wireless ad-hoc networks become challenging. This is much more interesting when involving not only security but also privacy protection of vehicles. Secure communications among vehicles or between vehicles and Road-Side Units (RSUs) should be mandatory satisfied through encryption, anonymous authentication, and the integrity guarantee of exchanging information. Hence, both security and privacy protection of vehicles should be considered. Therefore, this paper proposes an anonymous authentication system to enable a vehicle proves that he/she is a legitimated vehicle in the VANET without revealing his/her privacy information to other vehicles or RSUs. To realize this aim, an efficient group signature scheme is adopted. The measurement results showed the practicality of proposed system to achieve only about 185 ms or 121 ms in conducting an anonymous authentication either in Vehicle-to-Vehicle (V2V) communication or Vehicle-to-RSU (V2R) communication.
{"title":"An Implementation of Efficient Group Signature for Anonymous Authentication System in Vehicular Ad-Hoc Networks","authors":"Amang Sudarsono","doi":"10.1109/IES50839.2020.9231899","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231899","url":null,"abstract":"Due to features of mobility and velocity of movement all nodes in Vehicular Ad-hoc Networks (VANETs), these infrastructureless wireless ad-hoc networks become challenging. This is much more interesting when involving not only security but also privacy protection of vehicles. Secure communications among vehicles or between vehicles and Road-Side Units (RSUs) should be mandatory satisfied through encryption, anonymous authentication, and the integrity guarantee of exchanging information. Hence, both security and privacy protection of vehicles should be considered. Therefore, this paper proposes an anonymous authentication system to enable a vehicle proves that he/she is a legitimated vehicle in the VANET without revealing his/her privacy information to other vehicles or RSUs. To realize this aim, an efficient group signature scheme is adopted. The measurement results showed the practicality of proposed system to achieve only about 185 ms or 121 ms in conducting an anonymous authentication either in Vehicle-to-Vehicle (V2V) communication or Vehicle-to-RSU (V2R) communication.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121574750","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231645
Abdullah Iskandar, T. Nakanishi, A. Basuki, Ryotaro Okada, T. Kitagawa
In this paper, we present gaze-music transformation realization method by realizing gaze emotion detection system and interconnecting the detection system and an automatic music media creation system. This method automatically creates a music media contents by a detected emotion from human gaze. When it is possible to realize a system that acquires human gaze data from a camera device, detects emotions from the data, and creates media content in response to those emotions, it will contribute to creative activities corresponding to human emotion. Our method connects a gaze emotion detection system and an automatic music creation system by the similarity of words that represent emotions and impressions. It is possible to compare emotions by comparing the emotions expressed by each different vocabulary using the similarity of words.
{"title":"Gaze-music Media Transformation by Similarity of Impression Words","authors":"Abdullah Iskandar, T. Nakanishi, A. Basuki, Ryotaro Okada, T. Kitagawa","doi":"10.1109/IES50839.2020.9231645","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231645","url":null,"abstract":"In this paper, we present gaze-music transformation realization method by realizing gaze emotion detection system and interconnecting the detection system and an automatic music media creation system. This method automatically creates a music media contents by a detected emotion from human gaze. When it is possible to realize a system that acquires human gaze data from a camera device, detects emotions from the data, and creates media content in response to those emotions, it will contribute to creative activities corresponding to human emotion. Our method connects a gaze emotion detection system and an automatic music creation system by the similarity of words that represent emotions and impressions. It is possible to compare emotions by comparing the emotions expressed by each different vocabulary using the similarity of words.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132580721","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}
Despite the fact that the use of English language is inevitable nowadays, some people find it difficult to learn. Moreover, the advance of technology has brought impacts on the way how people learn the language such as speech recognition technology that is used to develop learning tools. However, some existing learning media have several shortcomings. Therefore, to bridge this gap, such media to learn and practice the language are needed. This paper focuses on developing English conversation chatbot using speech recognition and artificial intelligence technology with Dialogflow platform as the artificial intelligence engine. Evaluations toward the chatbot were done by the expert review to identify the achievement of indicators and the users to know the level of responses accuracy. The result indicated that almost all agents have reached all indicators and most of the responses had accuracy rate of 100%. It is expected that the availability of the chatbot helps students to improve their conversation skills.
{"title":"Developing English Conversation Chatbot Using Dialogflow","authors":"Aliv Faizal Muhammad, D. Susanto, Akhmad Alimudin, Farah Adila, Moh. Hasbi Assidiqi, Salim Nabhan","doi":"10.1109/IES50839.2020.9231659","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231659","url":null,"abstract":"Despite the fact that the use of English language is inevitable nowadays, some people find it difficult to learn. Moreover, the advance of technology has brought impacts on the way how people learn the language such as speech recognition technology that is used to develop learning tools. However, some existing learning media have several shortcomings. Therefore, to bridge this gap, such media to learn and practice the language are needed. This paper focuses on developing English conversation chatbot using speech recognition and artificial intelligence technology with Dialogflow platform as the artificial intelligence engine. Evaluations toward the chatbot were done by the expert review to identify the achievement of indicators and the users to know the level of responses accuracy. The result indicated that almost all agents have reached all indicators and most of the responses had accuracy rate of 100%. It is expected that the availability of the chatbot helps students to improve their conversation skills.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078176","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231629
Uswatun Khasana, R. Sigit, Heny Yuniarti
Breast cancer condition when cancer cells form in breast tissue. Cancer can also form in fat or connective tissue in the breast. Is a type of cancer that is deadly and difficult to detect at an early age but along with the development of technology in the health sector many methods are used for early detection of cancer, one of which is by using USG (Ultrasonography). Ultrasound is an imaging procedure using high-frequency sound wave technology to produce images of the inner body, such as organs and soft tissues. The ultrasound test results have very low quality, giving rise to many different perceptions in diagnosing the disease. From these problems sparked an idea to detect breast cancer automatically. The watershed transform algorithm is used in the segmentation process to produce the location of the cancer and can distinguish objects based on background. The result of segmentation using watershed is the second segmentation process using thresholding binaries to separate the image of the cancer as the object being observed. The final step is the process of calculating the area of cancer. The result of this paper is a comparison of the calculation of the area of cancer between Hospital data and trial results, from the results of these trials the system accuracy reached 88.65% of all data tested and an error of 11.35%. From these tests it can be concluded that the method used is the watershed transform algorithm capable of segmenting the image of the breast ultrasound image.
{"title":"Segmentation of Breast Using Ultrasound Image for Detection Breast Cancer","authors":"Uswatun Khasana, R. Sigit, Heny Yuniarti","doi":"10.1109/IES50839.2020.9231629","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231629","url":null,"abstract":"Breast cancer condition when cancer cells form in breast tissue. Cancer can also form in fat or connective tissue in the breast. Is a type of cancer that is deadly and difficult to detect at an early age but along with the development of technology in the health sector many methods are used for early detection of cancer, one of which is by using USG (Ultrasonography). Ultrasound is an imaging procedure using high-frequency sound wave technology to produce images of the inner body, such as organs and soft tissues. The ultrasound test results have very low quality, giving rise to many different perceptions in diagnosing the disease. From these problems sparked an idea to detect breast cancer automatically. The watershed transform algorithm is used in the segmentation process to produce the location of the cancer and can distinguish objects based on background. The result of segmentation using watershed is the second segmentation process using thresholding binaries to separate the image of the cancer as the object being observed. The final step is the process of calculating the area of cancer. The result of this paper is a comparison of the calculation of the area of cancer between Hospital data and trial results, from the results of these trials the system accuracy reached 88.65% of all data tested and an error of 11.35%. From these tests it can be concluded that the method used is the watershed transform algorithm capable of segmenting the image of the breast ultrasound image.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122521848","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231532
E. Resita, R. Sigit, T. Harsono, Rosydiah Rahmawati
This paper proposes an efficient technique for automatic detection of the tympanic membrane / eardrum in an endoscope image. All this time, the examination of the eardrum is done manually by a doctor to possibility for human errors. Then we need a system to help doctors diagnose the eardrum. The eardrum detection process involves four main steps. First, Preprocessing uses cropping and contrast enhancement to enhance lighting in the image, segmentation uses the grab cut model method to remove all non-eardrum pixels from the image, feature extraction uses RGB-color and GLCM to determine the value of color and texture features in the image and classification for determine the state of the eardrum. To handle ear detection of various ear shapes and sizes (triangular, round, oval and rectangular) and their size automatically adjusts the actual condition of the eardrum, without reducing the value of the image. System accuracy of 92.75 % classification accuracy by comparing the results of the system with the doctor's diagnosis, the RGB-color feature has the greatest effect compared to the texture feature. The proposed technique was tested on the eardrum image database of RSUD Dr. Soetomo consisting of 275 images of various kinds of eardrum conditions.
本文提出了一种有效的内窥镜图像中鼓膜/鼓膜的自动检测方法。一直以来，鼓膜的检查都是由医生手动完成的，有可能出现人为错误。然后我们需要一个系统来帮助医生诊断鼓膜。鼓膜检测过程包括四个主要步骤。首先，预处理使用裁剪和对比度增强增强图像中的光照，分割使用抓取切割模型方法去除图像中所有非耳膜像素，特征提取使用RGB-color和GLCM确定图像中颜色和纹理特征的值，分类确定耳膜的状态。处理各种耳形和大小(三角形、圆形、椭圆形和矩形)的耳检测，其大小自动调整鼓膜的实际情况，不降低图像值。系统准确率为92.75%，通过将系统的分类准确率结果与医生的诊断结果进行比较，rgb -颜色特征与纹理特征相比效果最大。所提出的技术在RSUD Dr. Soetomo的耳膜图像数据库上进行了测试，该数据库由275张不同类型的耳膜图像组成。
{"title":"Color RGB and Structure GLCM Method to Feature Extraction System in Endoscope Image for The Diagnosis Support of Otitis Media Disease","authors":"E. Resita, R. Sigit, T. Harsono, Rosydiah Rahmawati","doi":"10.1109/IES50839.2020.9231532","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231532","url":null,"abstract":"This paper proposes an efficient technique for automatic detection of the tympanic membrane / eardrum in an endoscope image. All this time, the examination of the eardrum is done manually by a doctor to possibility for human errors. Then we need a system to help doctors diagnose the eardrum. The eardrum detection process involves four main steps. First, Preprocessing uses cropping and contrast enhancement to enhance lighting in the image, segmentation uses the grab cut model method to remove all non-eardrum pixels from the image, feature extraction uses RGB-color and GLCM to determine the value of color and texture features in the image and classification for determine the state of the eardrum. To handle ear detection of various ear shapes and sizes (triangular, round, oval and rectangular) and their size automatically adjusts the actual condition of the eardrum, without reducing the value of the image. System accuracy of 92.75 % classification accuracy by comparing the results of the system with the doctor's diagnosis, the RGB-color feature has the greatest effect compared to the texture feature. The proposed technique was tested on the eardrum image database of RSUD Dr. Soetomo consisting of 275 images of various kinds of eardrum conditions.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124542044","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231690
Ashadi Kurniawan, P. Kristalina, M. Z. S. Hadi
Wireless Sensor Networks (WSN) have been widely used to process the monitoring of earth physical phenomena remotely. The result of data sensing in a certain area is transmitting to the server by routing these data via the adjacent nodes between sensor nodes and the server. The changing of physical phenomena will be monitored periodically in a server based on the receiving data from sensor nodes. Mobile Ad Hoc Network (MANET) is a flexible network topology that could be installed in disaster areas with a lack of infrastructure. This topology strongly supports the WSN system in sensor data transmitting. In this paper, we analyze the performance of 3 common MANET routing protocols, i.e. Ad Hoc On-demand Distance Vector (AODV), Dynamic Source Distance Vector (DSDV), and Optimized Link State Routing (OLSR). The three protocols have been examined by simulation using Network Simulator 3 (NS3) with 4 examination parameters, namely Packet Delivery Ratio (PDR), received data throughput, the percentage of packet loss, and transmitting delay. The result of the simulation shows that OLSR has better performance in the aforementioned parameter with the values 97,198%, 19,6399 Kbps, 2,802%, and 0,842 msec respectively based on the number of nodes provides.
{"title":"Performance Analysis of Routing Protocols AODV, OLSR and DSDV on MANET using NS3","authors":"Ashadi Kurniawan, P. Kristalina, M. Z. S. Hadi","doi":"10.1109/IES50839.2020.9231690","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231690","url":null,"abstract":"Wireless Sensor Networks (WSN) have been widely used to process the monitoring of earth physical phenomena remotely. The result of data sensing in a certain area is transmitting to the server by routing these data via the adjacent nodes between sensor nodes and the server. The changing of physical phenomena will be monitored periodically in a server based on the receiving data from sensor nodes. Mobile Ad Hoc Network (MANET) is a flexible network topology that could be installed in disaster areas with a lack of infrastructure. This topology strongly supports the WSN system in sensor data transmitting. In this paper, we analyze the performance of 3 common MANET routing protocols, i.e. Ad Hoc On-demand Distance Vector (AODV), Dynamic Source Distance Vector (DSDV), and Optimized Link State Routing (OLSR). The three protocols have been examined by simulation using Network Simulator 3 (NS3) with 4 examination parameters, namely Packet Delivery Ratio (PDR), received data throughput, the percentage of packet loss, and transmitting delay. The result of the simulation shows that OLSR has better performance in the aforementioned parameter with the values 97,198%, 19,6399 Kbps, 2,802%, and 0,842 msec respectively based on the number of nodes provides.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114327295","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231826
Dhanu Kurnia Utama, Adhi Dharma Wibawa, Lutfi Hakim, M. Purnomo
Playing computer games tends to be more determined or driven by emotion than reason, this is due to the game algorithm that is made to influence the player behavior. In general, the initial concept of developing games is how the game can make people addicted. One consequence that often occurs from playing such games is angry emotions among gamers. However, angry is one of the negative emotions of the human being that can cause poor health. Therefore, this study tries to provide information on pulse rate signal patterns in gamers when angry occurs during playing our chosen game. The chosen game has been validated using a survey to the game developer community as a game that can trigger angry emotion. In this study, 12 subjects volunteered in the experiment by playing the chosen game. Pulse rate sensors were applied during measurement. The pulse rate data from each subject has two phases: the baseline phase (prestimulation) and the playing phase (in-stimulation). After each measurement, the subject was asked to fill a questionnaire to access the level of his anger. This is the way we confirm the pulse rate result. The feature extraction parameters used to obtain the pulse rate pattern are the difference value of the mean and absolute deviation of the mean. Those two parameters at each phase then being compared using paired t-tests to find out the significance between the baseline stage and the playing games stage. The result showed that when the subject confirmed feeling angry during playing games from the questionnaire, there was an increase in the pulse rate signal in the graph visualization and a significant difference in the paired t-test. Some subjects showed a significantly high increase in pulse rate. This study concludes that some games can increase the risk of heart attack or other heart diseases.
{"title":"Pulse Rate Pattern For Gamers during Playing Video Game in Angry Emotion","authors":"Dhanu Kurnia Utama, Adhi Dharma Wibawa, Lutfi Hakim, M. Purnomo","doi":"10.1109/IES50839.2020.9231826","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231826","url":null,"abstract":"Playing computer games tends to be more determined or driven by emotion than reason, this is due to the game algorithm that is made to influence the player behavior. In general, the initial concept of developing games is how the game can make people addicted. One consequence that often occurs from playing such games is angry emotions among gamers. However, angry is one of the negative emotions of the human being that can cause poor health. Therefore, this study tries to provide information on pulse rate signal patterns in gamers when angry occurs during playing our chosen game. The chosen game has been validated using a survey to the game developer community as a game that can trigger angry emotion. In this study, 12 subjects volunteered in the experiment by playing the chosen game. Pulse rate sensors were applied during measurement. The pulse rate data from each subject has two phases: the baseline phase (prestimulation) and the playing phase (in-stimulation). After each measurement, the subject was asked to fill a questionnaire to access the level of his anger. This is the way we confirm the pulse rate result. The feature extraction parameters used to obtain the pulse rate pattern are the difference value of the mean and absolute deviation of the mean. Those two parameters at each phase then being compared using paired t-tests to find out the significance between the baseline stage and the playing games stage. The result showed that when the subject confirmed feeling angry during playing games from the questionnaire, there was an increase in the pulse rate signal in the graph visualization and a significant difference in the paired t-test. Some subjects showed a significantly high increase in pulse rate. This study concludes that some games can increase the risk of heart attack or other heart diseases.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121541999","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231584
S. T. Puruhita, Novian Fajar Satria, Nofria Hanafi, Eny Kusumawati
Robot hand can perform like human hand that consisting of opening, closing, and grasping through an object. Robot hand have been applied in some fields, likes medical science, equipment maintenance, aviation, explosive ordnance disposal, and industrial production. The operating performance of a robot end-effector plays an important role in completing the complex tasks. Related with these research, a study of humanoid robot hands mimicking through human hands movements conducted. Robot hand requires 4 servo motors to move the arm robot and 5 micro servos to move the finger robot. The robot hand is controlled wirelessly so that it is not obstructed by the length of the cable. This study resulted a robot hand that can perform to mimicking through human hand movement properly. The highest error of trial robot finger was in pinky finger, middle finger, and index finger when folded 30° which in the experiment resulted 2.83% error. The highest error of robot arm movement trial when rotated 60° in forearm yaw which in this experiment resulted 8.00% error. This prototype can be applied in real-life task by help difficult human work like removing hazardous objects in a dangerous area such as chemical, biological, and radiological nature.
{"title":"Development of Teleoperation Humanoid Robot Hand Mimicking Through Human Hand Movement","authors":"S. T. Puruhita, Novian Fajar Satria, Nofria Hanafi, Eny Kusumawati","doi":"10.1109/IES50839.2020.9231584","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231584","url":null,"abstract":"Robot hand can perform like human hand that consisting of opening, closing, and grasping through an object. Robot hand have been applied in some fields, likes medical science, equipment maintenance, aviation, explosive ordnance disposal, and industrial production. The operating performance of a robot end-effector plays an important role in completing the complex tasks. Related with these research, a study of humanoid robot hands mimicking through human hands movements conducted. Robot hand requires 4 servo motors to move the arm robot and 5 micro servos to move the finger robot. The robot hand is controlled wirelessly so that it is not obstructed by the length of the cable. This study resulted a robot hand that can perform to mimicking through human hand movement properly. The highest error of trial robot finger was in pinky finger, middle finger, and index finger when folded 30° which in the experiment resulted 2.83% error. The highest error of robot arm movement trial when rotated 60° in forearm yaw which in this experiment resulted 8.00% error. This prototype can be applied in real-life task by help difficult human work like removing hazardous objects in a dangerous area such as chemical, biological, and radiological nature.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132736312","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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