Pub Date : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130522
József Klespitz, L. Kovács
Diabetes mellitus is a major risk factor for building chronic kidney disease. With the increasing number of diagnosed diabetic patients the number of related kidney replacement therapies will increase. The insulin is small enough to be filtered out during hemodialysis, therefore it is partially removed during treatment. The aim of this paper is to give a proposal on how to create an automatic control of insulin dosage during hemodialysis treatment with specific respect on insulin clearance. Our expectation would be that such a control (thanks to the regular execution of hemodialysis treatment) would slow down the degradation in kidney functionalities thus prolonging patient life and improving life quality.
{"title":"On the way to strict glycemic control for hemodialysis patients","authors":"József Klespitz, L. Kovács","doi":"10.1109/SoSE50414.2020.9130522","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130522","url":null,"abstract":"Diabetes mellitus is a major risk factor for building chronic kidney disease. With the increasing number of diagnosed diabetic patients the number of related kidney replacement therapies will increase. The insulin is small enough to be filtered out during hemodialysis, therefore it is partially removed during treatment. The aim of this paper is to give a proposal on how to create an automatic control of insulin dosage during hemodialysis treatment with specific respect on insulin clearance. Our expectation would be that such a control (thanks to the regular execution of hemodialysis treatment) would slow down the degradation in kidney functionalities thus prolonging patient life and improving life quality.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133603857","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130462
J. Wrigley
Systems Engineering is evolving from a largely text-based endeavour towards a more graphical and model-based approach. However, there is little agreement on the underlying concepts and processes used in systems engineering and their representation in models. This paper proposes a requirements modelling approach based on a reduced set of underlying concepts, which can readily be given a graphical representation. We then show how a graph isomorphism could be used to transform from the requirements space into the design space. At the same time we review the ability of current models to represent the key concepts and transformations.
{"title":"Requirements Decomposition using a Graphical method","authors":"J. Wrigley","doi":"10.1109/SoSE50414.2020.9130462","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130462","url":null,"abstract":"Systems Engineering is evolving from a largely text-based endeavour towards a more graphical and model-based approach. However, there is little agreement on the underlying concepts and processes used in systems engineering and their representation in models. This paper proposes a requirements modelling approach based on a reduced set of underlying concepts, which can readily be given a graphical representation. We then show how a graph isomorphism could be used to transform from the requirements space into the design space. At the same time we review the ability of current models to represent the key concepts and transformations.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719434","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130485
L. Horváth
Smart industrial and consumer products are developed towards autonomous operation. These products have capabilities which require operation by cooperating systems. Engineering of these products must be elevated to system level for innovation and life cycles. This demands system level model which has the capability to provide integrated support for lifecycle engineering. Serving connected systems, the system of systems engineering (SoSE) theory, methodology and practice gained leading role in industrial practice. This paper introduces system of systems (SoS) based integrated engineering scenario which includes organized intellectual property (OIP) model system, systems engineering (SE) based model system which represents smart cyber physical system (CPS), and cyber units of systems operated CPS. Following this, situation awareness (SA) in SoSE based communication amongst systems in the above scenario is discussed considering SA as main goal. Next, novel OIP model system is proposed as a possible contribution to the above scenario. Finally, system level experimental model is introduced which will be applied as main method in the virtual research laboratory (VRL) at the Laboratory of Intelligent Engineering System (IESL) among others to accommodate system level engineering in research for OIP and PhD research at the Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University.
{"title":"Model System for the Representation of Smart System of Systems in Engineering","authors":"L. Horváth","doi":"10.1109/SoSE50414.2020.9130485","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130485","url":null,"abstract":"Smart industrial and consumer products are developed towards autonomous operation. These products have capabilities which require operation by cooperating systems. Engineering of these products must be elevated to system level for innovation and life cycles. This demands system level model which has the capability to provide integrated support for lifecycle engineering. Serving connected systems, the system of systems engineering (SoSE) theory, methodology and practice gained leading role in industrial practice. This paper introduces system of systems (SoS) based integrated engineering scenario which includes organized intellectual property (OIP) model system, systems engineering (SE) based model system which represents smart cyber physical system (CPS), and cyber units of systems operated CPS. Following this, situation awareness (SA) in SoSE based communication amongst systems in the above scenario is discussed considering SA as main goal. Next, novel OIP model system is proposed as a possible contribution to the above scenario. Finally, system level experimental model is introduced which will be applied as main method in the virtual research laboratory (VRL) at the Laboratory of Intelligent Engineering System (IESL) among others to accommodate system level engineering in research for OIP and PhD research at the Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126149022","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130535
Matthew Zhu, D. Simon, Nachiketa Rajpurohit, Sagar Jayantkumar Kalathia, Wencen Wu
Field coverage is a representative exploration task that has many applications ranging from household chores to navigating harsh and dangerous environments. Autonomous mobile robots are widely considered and used in such tasks due to many advantages. In particular, a collaborative multirobot group can increase the efficiency of field coverage. In this paper, we investigate the field coverage problem using a group of collaborative robots. In practical scenarios, the model of a field is usually unavailable and the robots only have access to local information obtained from their on-board sensors. Therefore, a Q-learning algorithm is developed with the joint state space being the discretized local observation areas of the robots to reduce the computational cost. We conduct simulations to verify the algorithm and compare the performance in different settings.
{"title":"Reinforcement Learning for Multi-robot Field Coverage Based on Local Observation","authors":"Matthew Zhu, D. Simon, Nachiketa Rajpurohit, Sagar Jayantkumar Kalathia, Wencen Wu","doi":"10.1109/SoSE50414.2020.9130535","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130535","url":null,"abstract":"Field coverage is a representative exploration task that has many applications ranging from household chores to navigating harsh and dangerous environments. Autonomous mobile robots are widely considered and used in such tasks due to many advantages. In particular, a collaborative multirobot group can increase the efficiency of field coverage. In this paper, we investigate the field coverage problem using a group of collaborative robots. In practical scenarios, the model of a field is usually unavailable and the robots only have access to local information obtained from their on-board sensors. Therefore, a Q-learning algorithm is developed with the joint state space being the discretized local observation areas of the robots to reduce the computational cost. We conduct simulations to verify the algorithm and compare the performance in different settings.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124171638","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130476
Peter Piros, Rita Fleiner, L. Kovács
The objective of the current study is to compare how our two tree-based machine learning algorithms can predict 30-day and 1-year mortality of patients hospitalized with acute myocardial infarction. The two algorithms were decision tree and random forest, and the source of dataset is Hungarian Myocardial Infarction Registry (n=47,391). As a result, we found that the ROC AUC values of Random Forest models for predicting 30-day mortality were 0.843 and 0.847 (training and validation set), while for the 1-year models these were 0.835 and 0.836, respectively. These numbers mean that, the Random Forest models were at least 5-6% better than the decision tree models, but in some cases the improvement is above 9%.
{"title":"Random Forest-based predictive modelling on Hungarian Myocardial Infarction Registry","authors":"Peter Piros, Rita Fleiner, L. Kovács","doi":"10.1109/SoSE50414.2020.9130476","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130476","url":null,"abstract":"The objective of the current study is to compare how our two tree-based machine learning algorithms can predict 30-day and 1-year mortality of patients hospitalized with acute myocardial infarction. The two algorithms were decision tree and random forest, and the source of dataset is Hungarian Myocardial Infarction Registry (n=47,391). As a result, we found that the ROC AUC values of Random Forest models for predicting 30-day mortality were 0.843 and 0.847 (training and validation set), while for the 1-year models these were 0.835 and 0.836, respectively. These numbers mean that, the Random Forest models were at least 5-6% better than the decision tree models, but in some cases the improvement is above 9%.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128941508","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130527
M. Gharib, P. Lollini, A. Ceccarelli, A. Bondavalli
One of the main challenges in integrating CyberPhysical System-of-Systems (CPSoS) to function as a single unified system is the autonomy of its Cyber-Physical Systems (CPSs), which may lead to lack of coordination among CPSs and results in various kinds of conflicts. We advocate that to efficiently integrate CPSs within the CPSoS, we may need to adjust the autonomy of some CPSs in a way that allows them to coordinate their activities to avoid any potential conflict among one another. To achieve that, we need to incorporate the notion of governance within the design of CPSoS, which defines rules that can be used for clearly specifying who and how can adjust the autonomy of a CPS. In this paper, we try to tackle this problem by proposing a new conceptual model that can be used for performing a governance-based analysis of autonomy for CPSs within CPSoS. We illustrate the utility of the model with an example from the automotive domain.
{"title":"Governance & Autonomy: Towards a Governance-based Analysis of Autonomy in Cyber-Physical Systems-of-Systems","authors":"M. Gharib, P. Lollini, A. Ceccarelli, A. Bondavalli","doi":"10.1109/SoSE50414.2020.9130527","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130527","url":null,"abstract":"One of the main challenges in integrating CyberPhysical System-of-Systems (CPSoS) to function as a single unified system is the autonomy of its Cyber-Physical Systems (CPSs), which may lead to lack of coordination among CPSs and results in various kinds of conflicts. We advocate that to efficiently integrate CPSs within the CPSoS, we may need to adjust the autonomy of some CPSs in a way that allows them to coordinate their activities to avoid any potential conflict among one another. To achieve that, we need to incorporate the notion of governance within the design of CPSoS, which defines rules that can be used for clearly specifying who and how can adjust the autonomy of a CPS. In this paper, we try to tackle this problem by proposing a new conceptual model that can be used for performing a governance-based analysis of autonomy for CPSs within CPSoS. We illustrate the utility of the model with an example from the automotive domain.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128982437","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130427
M. Szigeti, T. Ferenci, L. Kovács
In contrast to regular statistics where the focus is on the most typical part of the data and the used metrics are describing that part (usually with the mean or median and variance and interquartile range) where most of the observations came from, there is a branch of statistics which focuses on the extreme events, i.e, the tails of the distributions. These are not simple outliers, like data entry errors, but real part of the data which are far from the central tendency and occur rarely, yet, have relevance and impact. Thus, in many application, they can’t be simply neglected. The use of extreme value statistics allows us to fit models on this part of the data and like “regular” statistics, enables us to calculate estimates and predictions, but in this case for extreme values. These methods are frequently used in fields like meteorology and finance where the extreme events have large impact despite their rarity. Because of this rarity, however, only a small fraction of the data can be used so much higher sample size is required for such analysis. This factor limited the use of extreme value statistics in biomedical field where available technology and costs are strong limitations at frequently measuring most of the biomarkers until recently. Blood glucose level is one of the exceptions nowadays, as with recent advancements it can be monitored for relatively long time and with high frequency for a patient. Additionally, extreme values of blood glucose levels (both high and low) are associated with- chronic or acute- complications of diabetes. This paper aims to demonstrate that the use of extreme value statistics, in particular the block maxima approach could be a possible way to characterize blood glucose curves. In addition to providing a metric for the state of the patient and therefore hopefully the associated risks, it allows the comparison of the performance of artificial pancreas systems. Block maxima method was used to model extreme values of a dataset containing measurements of a single patient with 476 complete days of data acquired with sampling frequency of 15 minutes. Probabilities for exceeding the clinically relevant levels of 270 mg/dl (cognitive symptoms expected) and 600 mg/dl (diabetic hyperosmolar syndrome) were calculated and were 3.47% and 4.96.10-7% respectively. Through these estimates it is possible to characterise each patient’s status and compare different controllers.
{"title":"The use of block maxima method of extreme value statistics to characterise blood glucose curves","authors":"M. Szigeti, T. Ferenci, L. Kovács","doi":"10.1109/SoSE50414.2020.9130427","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130427","url":null,"abstract":"In contrast to regular statistics where the focus is on the most typical part of the data and the used metrics are describing that part (usually with the mean or median and variance and interquartile range) where most of the observations came from, there is a branch of statistics which focuses on the extreme events, i.e, the tails of the distributions. These are not simple outliers, like data entry errors, but real part of the data which are far from the central tendency and occur rarely, yet, have relevance and impact. Thus, in many application, they can’t be simply neglected. The use of extreme value statistics allows us to fit models on this part of the data and like “regular” statistics, enables us to calculate estimates and predictions, but in this case for extreme values. These methods are frequently used in fields like meteorology and finance where the extreme events have large impact despite their rarity. Because of this rarity, however, only a small fraction of the data can be used so much higher sample size is required for such analysis. This factor limited the use of extreme value statistics in biomedical field where available technology and costs are strong limitations at frequently measuring most of the biomarkers until recently. Blood glucose level is one of the exceptions nowadays, as with recent advancements it can be monitored for relatively long time and with high frequency for a patient. Additionally, extreme values of blood glucose levels (both high and low) are associated with- chronic or acute- complications of diabetes. This paper aims to demonstrate that the use of extreme value statistics, in particular the block maxima approach could be a possible way to characterize blood glucose curves. In addition to providing a metric for the state of the patient and therefore hopefully the associated risks, it allows the comparison of the performance of artificial pancreas systems. Block maxima method was used to model extreme values of a dataset containing measurements of a single patient with 476 complete days of data acquired with sampling frequency of 15 minutes. Probabilities for exceeding the clinically relevant levels of 270 mg/dl (cognitive symptoms expected) and 600 mg/dl (diabetic hyperosmolar syndrome) were calculated and were 3.47% and 4.96.10-7% respectively. Through these estimates it is possible to characterise each patient’s status and compare different controllers.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124525292","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130475
Zsolt Domozi, D. Stojcsics, Abdallah Benhamida, M. Kozlovszky, A. Molnár
This paper introduces a solution to stand-alone system based, real-time object-detection, can efficiently facilitate the search for missing persons with an unmanned aerial vehicle. The challenge is the real-time implementation of the systems and training the given deep neural network for the desired task. The paper describes the methods and procedures currently in use, as well as the possible tools. Subsequently, the autonomous aircraft system, which carries a real-time detection system, is introduced. In the section about real-time detection, we will introduce the TensorFlow lite-based application, building on SSD topology, in detail, which was implemented on mobile phones. We will also introduce the dataset used for training, testing and the results achieved. In summary, the recall achieved is 65.4% and precision is 96.4%, besides the fact that the android-based application, using the phone’s camera, performs image analysis at a rate of 11 to 17 FPS in real-time, while continuously providing
{"title":"Real time object detection for aerial search and rescue missions for missing persons","authors":"Zsolt Domozi, D. Stojcsics, Abdallah Benhamida, M. Kozlovszky, A. Molnár","doi":"10.1109/SoSE50414.2020.9130475","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130475","url":null,"abstract":"This paper introduces a solution to stand-alone system based, real-time object-detection, can efficiently facilitate the search for missing persons with an unmanned aerial vehicle. The challenge is the real-time implementation of the systems and training the given deep neural network for the desired task. The paper describes the methods and procedures currently in use, as well as the possible tools. Subsequently, the autonomous aircraft system, which carries a real-time detection system, is introduced. In the section about real-time detection, we will introduce the TensorFlow lite-based application, building on SSD topology, in detail, which was implemented on mobile phones. We will also introduce the dataset used for training, testing and the results achieved. In summary, the recall achieved is 65.4% and precision is 96.4%, besides the fact that the android-based application, using the phone’s camera, performs image analysis at a rate of 11 to 17 FPS in real-time, while continuously providing","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121564584","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130473
Merishna Ramtahalsing, M. Jafari, J. Braaksma, M. Rajabalinejad, L. V. Dongen
As systems continue to grow in interconnectedness and complexity, System Integration has become increasingly more difficult. The significance of a System Definition phase, describing a system in increasing level of detail, to facilitate integration (avoid or anticipate issues in advance) is clear from literature. However, what this should specifically entail, varies. Moreover, the term “system” as commonly used, does not correspond to a specific level of granulation or complexity. Therefore, focusing on a System of Interest is a prerequisite. The purpose of this paper is to first identify key features from literature which should be included in a System Definition phase. Secondly, in order to identify what hinders effective integration from industrial perspective and, determine how this can be related to the identified System Definition features, a case study has been carried out within the Dutch railway system. By interviews and qualitative data analysis, numerous integration issues were identified. From the case study, several features were identified which require appropriate attention to facilitate effective integration. In addition, the case study revealed features, which were not obtained from literature.
{"title":"The System (of Interest) Definitions phase: Key features and challenges in the Dutch Railway system","authors":"Merishna Ramtahalsing, M. Jafari, J. Braaksma, M. Rajabalinejad, L. V. Dongen","doi":"10.1109/SoSE50414.2020.9130473","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130473","url":null,"abstract":"As systems continue to grow in interconnectedness and complexity, System Integration has become increasingly more difficult. The significance of a System Definition phase, describing a system in increasing level of detail, to facilitate integration (avoid or anticipate issues in advance) is clear from literature. However, what this should specifically entail, varies. Moreover, the term “system” as commonly used, does not correspond to a specific level of granulation or complexity. Therefore, focusing on a System of Interest is a prerequisite. The purpose of this paper is to first identify key features from literature which should be included in a System Definition phase. Secondly, in order to identify what hinders effective integration from industrial perspective and, determine how this can be related to the identified System Definition features, a case study has been carried out within the Dutch railway system. By interviews and qualitative data analysis, numerous integration issues were identified. From the case study, several features were identified which require appropriate attention to facilitate effective integration. In addition, the case study revealed features, which were not obtained from literature.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114163307","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130489
Karthik Subramanian, Celal Savur, F. Sahin
A new wearable band is developed which uses three Photoplethysmography (PPG) sensors for the purpose of hand gesture recognition (HGR). These sensors are typically used for heart rate estimation and detection of cardiovascular diseases. Heart rate estimates obtained from these sensors are disregarded when the arm is in motion on account of artifacts. This research suggests and demonstrates that these artifacts are repeatable in nature based on the gestures performed. A comparative study is made between the developed band and the Myo Armband which uses surface-Electromyography (s-EMG) for gesture recognition. Based on the results of this paper which employs supervised machine learning techniques, it can be seen that PPG can be utilized as a viable alternative modality for gesture recognition applications.
{"title":"Using Photoplethysmography for Simple Hand Gesture Recognition","authors":"Karthik Subramanian, Celal Savur, F. Sahin","doi":"10.1109/SoSE50414.2020.9130489","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130489","url":null,"abstract":"A new wearable band is developed which uses three Photoplethysmography (PPG) sensors for the purpose of hand gesture recognition (HGR). These sensors are typically used for heart rate estimation and detection of cardiovascular diseases. Heart rate estimates obtained from these sensors are disregarded when the arm is in motion on account of artifacts. This research suggests and demonstrates that these artifacts are repeatable in nature based on the gestures performed. A comparative study is made between the developed band and the Myo Armband which uses surface-Electromyography (s-EMG) for gesture recognition. Based on the results of this paper which employs supervised machine learning techniques, it can be seen that PPG can be utilized as a viable alternative modality for gesture recognition applications.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132001779","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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