Pub Date : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243719
Luca Cremona, Nicola Carrus, Ilaria Sergi, L. Patrono
The concept of Industry 4.0 is mainly based on the concept of Digital Transformation which involves all main procedures and activities in a company. Fundamental elements of this transformation are the technologies enabling the Internet of Things and the potential offered by PaaS services such as Microsoft Azure platform. Currently, the industrial context is strongly interested in stimulating the experimentation of smart, safe, low cost and low power systems. This work aims to describe the potential in terms of rapid prototyping of smart industrial systems based on MT3620 MCU and Microsoft Azure Sphere platform. To better understand their potential, a simple use case has been defined and implemented. Furthermore, a functional validation of the implemented system has been carried out in the laboratory and the main first and partial results have been discussed. Finally, main benefits in the use of these innovative technologies in Industry4.0 sector have been briefly illustrated.
{"title":"A Rapid Prototyping Approach in Industry4.0 based on Secure Hardware and Azure Sphere Cloud","authors":"Luca Cremona, Nicola Carrus, Ilaria Sergi, L. Patrono","doi":"10.23919/SpliTech49282.2020.9243719","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243719","url":null,"abstract":"The concept of Industry 4.0 is mainly based on the concept of Digital Transformation which involves all main procedures and activities in a company. Fundamental elements of this transformation are the technologies enabling the Internet of Things and the potential offered by PaaS services such as Microsoft Azure platform. Currently, the industrial context is strongly interested in stimulating the experimentation of smart, safe, low cost and low power systems. This work aims to describe the potential in terms of rapid prototyping of smart industrial systems based on MT3620 MCU and Microsoft Azure Sphere platform. To better understand their potential, a simple use case has been defined and implemented. Furthermore, a functional validation of the implemented system has been carried out in the laboratory and the main first and partial results have been discussed. Finally, main benefits in the use of these innovative technologies in Industry4.0 sector have been briefly illustrated.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115359305","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243844
Pedro Mariano, S. Almeida, Pedro Santana
In this paper we investigate how to build a model to predict pollution levels using geographical information. By focusing on this kind of attributes we hope to contribute to an effective city management as we will find the urban configurations that conduct to the lowest pollution levels. We used decision trees to build a regression model. We performed a parameter grid search using cross validation. Ablation analysis where some attributes were removed from training showed that geographical based attributes impact the prediction error of decision trees.
{"title":"Pollution Prediction Model Using Data Collected by a Mobile Sensor Network","authors":"Pedro Mariano, S. Almeida, Pedro Santana","doi":"10.23919/SpliTech49282.2020.9243844","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243844","url":null,"abstract":"In this paper we investigate how to build a model to predict pollution levels using geographical information. By focusing on this kind of attributes we hope to contribute to an effective city management as we will find the urban configurations that conduct to the lowest pollution levels. We used decision trees to build a regression model. We performed a parameter grid search using cross validation. Ablation analysis where some attributes were removed from training showed that geographical based attributes impact the prediction error of decision trees.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127333962","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243772
Xiang-yan Kong, O. Lim
This study uses Constant volume combustion chamber (CVCC) for fuel injection under gasoline compression ignition engine condition. Gasoline (90%)-Biodiesel (10%) Blended, Gasoline (80%)-Biodiesel (20%) Blended were used as fuel in this study. The evaluation results are based on spray images collected from high-speed cameras through the Schlieren method. The different spray penetration length and spray cone angle were investigated under variation of injection pressure of 40 MPa, 60 MPa, 80 MPa and MPa .Therefore, we intend to analyze the spray performance under various conditions and apply it to the new engine.
{"title":"The study of injection pressure on spray characteristic under GCI conditions using Gasoline-Biodiesel Blended","authors":"Xiang-yan Kong, O. Lim","doi":"10.23919/SpliTech49282.2020.9243772","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243772","url":null,"abstract":"This study uses Constant volume combustion chamber (CVCC) for fuel injection under gasoline compression ignition engine condition. Gasoline (90%)-Biodiesel (10%) Blended, Gasoline (80%)-Biodiesel (20%) Blended were used as fuel in this study. The evaluation results are based on spray images collected from high-speed cameras through the Schlieren method. The different spray penetration length and spray cone angle were investigated under variation of injection pressure of 40 MPa, 60 MPa, 80 MPa and MPa .Therefore, we intend to analyze the spray performance under various conditions and apply it to the new engine.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125934131","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243749
Kai Grunert
IoT devices often use small, constrained micro-controllers to implement their functionality. Usually, they are programmed with languages like C or C++, but there is a trend to use interpreted languages for this task. In this paper, we focus on JavaScript. We discuss the advantages and disadvantages of using this interpreted language for microcontroller development, we give an overview of the available JavaScript engines for constrained devices, and we compare these interpreters' general properties. One finding shows that the projects can be divided into embeddable interpreters (JerryScript, Duktape, mJS) and standalone runtimes (Espruino, Moddable, Mongoose OS). It was also identified that the interpreters follow different architectural approaches.
{"title":"Overview of JavaScript Engines for Resource-Constrained Microcontrollers","authors":"Kai Grunert","doi":"10.23919/SpliTech49282.2020.9243749","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243749","url":null,"abstract":"IoT devices often use small, constrained micro-controllers to implement their functionality. Usually, they are programmed with languages like C or C++, but there is a trend to use interpreted languages for this task. In this paper, we focus on JavaScript. We discuss the advantages and disadvantages of using this interpreted language for microcontroller development, we give an overview of the available JavaScript engines for constrained devices, and we compare these interpreters' general properties. One finding shows that the projects can be divided into embeddable interpreters (JerryScript, Duktape, mJS) and standalone runtimes (Espruino, Moddable, Mongoose OS). It was also identified that the interpreters follow different architectural approaches.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125566107","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243779
Panagiota Antoniadou, K. Papakostas, A. Papadopoulos
Reducing energy consumption constitutes an important pillar of the policies for the building sector without however undermining the occupants’ comfort conditions. In this line of approach, a variety of legislative and regulatory measures have been introduced since 2002 in Europe aiming to the realization of the vision of nearly Zero Energy Buildings (nZEBs). Considering this trend, and the fact that the EU member states should have completed these obligations until 2020, a review analysis over these issues is carried out and presented in this paper. This is being done by presenting the frameworks that have been established over these years and discussing their outcome. Furthermore, an analysis is conducted regarding the impact of the frameworks on the occupants’ comfort. This leads to conclusions about the main parameters that have to be considered as part of the evolution of the regulations in the years to come.
{"title":"The occupants’ comfort in non-residential nearly Zero Energy Buildings in the 21st century: A review","authors":"Panagiota Antoniadou, K. Papakostas, A. Papadopoulos","doi":"10.23919/SpliTech49282.2020.9243779","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243779","url":null,"abstract":"Reducing energy consumption constitutes an important pillar of the policies for the building sector without however undermining the occupants’ comfort conditions. In this line of approach, a variety of legislative and regulatory measures have been introduced since 2002 in Europe aiming to the realization of the vision of nearly Zero Energy Buildings (nZEBs). Considering this trend, and the fact that the EU member states should have completed these obligations until 2020, a review analysis over these issues is carried out and presented in this paper. This is being done by presenting the frameworks that have been established over these years and discussing their outcome. Furthermore, an analysis is conducted regarding the impact of the frameworks on the occupants’ comfort. This leads to conclusions about the main parameters that have to be considered as part of the evolution of the regulations in the years to come.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126610037","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243788
A. Dimara, C. Timplalexis, S. Krinidis, Christopher Schneider, Marco Bertocchi, D. Tzovaras
The aim of this paper is to determine the optimal indoor comfort conditions for residential houses in two European countries through a thorough statistical analysis. Information from residential indoor environmental conditions, occupants’ feedback and European standards are utilized. This analysis aims to understand and determine the optimal environmental conditions in indoor spaces based on occupants’ satisfaction. The experimental results illustrate that the proposed analysis and its results can be the basis for the optimal indoor environmental conditions determination. A comfortable indoor environment was found to be when the indoor temperature is from 21.5 oC to 23.4 oC and humidity is from 43.5% to 46%. The visual comfort was estimated as neutral from 93 to 124 lux.
{"title":"Optimal Comfort Conditions in Residential Houses","authors":"A. Dimara, C. Timplalexis, S. Krinidis, Christopher Schneider, Marco Bertocchi, D. Tzovaras","doi":"10.23919/SpliTech49282.2020.9243788","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243788","url":null,"abstract":"The aim of this paper is to determine the optimal indoor comfort conditions for residential houses in two European countries through a thorough statistical analysis. Information from residential indoor environmental conditions, occupants’ feedback and European standards are utilized. This analysis aims to understand and determine the optimal environmental conditions in indoor spaces based on occupants’ satisfaction. The experimental results illustrate that the proposed analysis and its results can be the basis for the optimal indoor environmental conditions determination. A comfortable indoor environment was found to be when the indoor temperature is from 21.5 oC to 23.4 oC and humidity is from 43.5% to 46%. The visual comfort was estimated as neutral from 93 to 124 lux.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115555607","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243787
Dunja Bjelobrk Knezevic, Nikolina Kasunić
Internet of Things (IoT) solutions have found their place in various industries, defining a subdomain of Industrial IoT - IIoT. One of those industries is food and drinks services. In an environment of high frequency of people and commonly poor network security settings, there is a question of level of security for those IoT implementations. This paper will focus on an example of beer cooler and serving unit IoT device in food and drinks service industry. The device is equipped with various sensors and connected to the cloud service via Wi-Fi connection. This paper gives an overview of relevant potential vulnerabilities, threats and mitigation techniques of Wi-Fi connected beer cooler and serving unit.
{"title":"Security challenges of Wi-Fi connected beer cooler and serving IIoT device","authors":"Dunja Bjelobrk Knezevic, Nikolina Kasunić","doi":"10.23919/SpliTech49282.2020.9243787","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243787","url":null,"abstract":"Internet of Things (IoT) solutions have found their place in various industries, defining a subdomain of Industrial IoT - IIoT. One of those industries is food and drinks services. In an environment of high frequency of people and commonly poor network security settings, there is a question of level of security for those IoT implementations. This paper will focus on an example of beer cooler and serving unit IoT device in food and drinks service industry. The device is equipped with various sensors and connected to the cloud service via Wi-Fi connection. This paper gives an overview of relevant potential vulnerabilities, threats and mitigation techniques of Wi-Fi connected beer cooler and serving unit.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116819835","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243836
G. Radica, I. Tolj, Michael Lototskyy, S. Pasupathi
Material handle vehicles are irreplaceable and widely used in industry. In indoor operations and other conditions which have strict requirements, lift trucks, powered by lead acid batteries, dominates. The weaknesses of battery modules are a short working time and a long charging time which result in cost increase. The solution is the high efficiency, zero emission energy produced with fuel cell. In this article, an analyses and optimization of the Fuel Cell – Battery hybrid system were provided. For the specific application an optimal battery capacity and fuel cell stack power were determined. An optimum energy strategy has been defined for different operation cycles and working conditions. A numerical model of specific forklift powered by Fuel Cell – Battery hybrid system has been made and validate with available experimental data. Simulations have been made according to standard for different operating cycles and validated with an experimental data. Optimal battery size of 10 Ah and Fuel cell power of 11 kW is determined for 3-tonne forklift working according to VDI 60 load profile.
{"title":"Control strategy of Fuel cell-Battery hybrid system for optimizing Lift truck load cycle","authors":"G. Radica, I. Tolj, Michael Lototskyy, S. Pasupathi","doi":"10.23919/SpliTech49282.2020.9243836","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243836","url":null,"abstract":"Material handle vehicles are irreplaceable and widely used in industry. In indoor operations and other conditions which have strict requirements, lift trucks, powered by lead acid batteries, dominates. The weaknesses of battery modules are a short working time and a long charging time which result in cost increase. The solution is the high efficiency, zero emission energy produced with fuel cell. In this article, an analyses and optimization of the Fuel Cell – Battery hybrid system were provided. For the specific application an optimal battery capacity and fuel cell stack power were determined. An optimum energy strategy has been defined for different operation cycles and working conditions. A numerical model of specific forklift powered by Fuel Cell – Battery hybrid system has been made and validate with available experimental data. Simulations have been made according to standard for different operating cycles and validated with an experimental data. Optimal battery size of 10 Ah and Fuel cell power of 11 kW is determined for 3-tonne forklift working according to VDI 60 load profile.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129930285","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243716
K. Naik, Bhooshan A. Rajpathak, A. Mitra, M. Kolhe
In this work, an adaptive energy management strategy (AEMS) is proposed to achieve the optimal power flow control of off grid connected hybrid DC Microgrid (MG) against time varying source and load dynamics. The hybrid DC MG considered in this paper is operating with a solar PV array and mini hydro power plant (MHPP) as power dispatching sources. The intermittent input dynamics of solar PV system and time varying load power dynamics results in power fluctuations of hybrid DC MG. The MHPP cannot regulate these power fluctuations instantly due its operating dynamics. Therefore, AEMS has deployed a hybrid energy storage system (HESS) comprising battery and supercapacitor storage devices for compensating such power dynamics. The intermittent dynamics of solar PV array may force the battery storage of HESS into deep charging/discharging mode which again results in power fluctuations of hybrid MG. To avoid deep charging/discharging of battery storage system, AEMS has employed an adjustable gate positioning system which adjusts the gate opening/ closing position of servo mechanism for regulating the power output of MHPP. Moreover, adjustable gate positioning system doesn’t going to effect the steady state output power of MHPP. This is the unique feature of AEMS. Adaptive power manger set the reference power to be delivered by MHPP in such a way that it compensates the time varying load power variations against its operating dynamics. In this paper, voltage control at the DC bus of hybrid MG is used to evaluate the power flow control with the proposed AEMS. The proposed methodology is validated using MATLAB SIMULINK software.
{"title":"Adaptive Energy Management Strategy for Optimal Power Flow Control of Hybrid DC Microgrid","authors":"K. Naik, Bhooshan A. Rajpathak, A. Mitra, M. Kolhe","doi":"10.23919/SpliTech49282.2020.9243716","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243716","url":null,"abstract":"In this work, an adaptive energy management strategy (AEMS) is proposed to achieve the optimal power flow control of off grid connected hybrid DC Microgrid (MG) against time varying source and load dynamics. The hybrid DC MG considered in this paper is operating with a solar PV array and mini hydro power plant (MHPP) as power dispatching sources. The intermittent input dynamics of solar PV system and time varying load power dynamics results in power fluctuations of hybrid DC MG. The MHPP cannot regulate these power fluctuations instantly due its operating dynamics. Therefore, AEMS has deployed a hybrid energy storage system (HESS) comprising battery and supercapacitor storage devices for compensating such power dynamics. The intermittent dynamics of solar PV array may force the battery storage of HESS into deep charging/discharging mode which again results in power fluctuations of hybrid MG. To avoid deep charging/discharging of battery storage system, AEMS has employed an adjustable gate positioning system which adjusts the gate opening/ closing position of servo mechanism for regulating the power output of MHPP. Moreover, adjustable gate positioning system doesn’t going to effect the steady state output power of MHPP. This is the unique feature of AEMS. Adaptive power manger set the reference power to be delivered by MHPP in such a way that it compensates the time varying load power variations against its operating dynamics. In this paper, voltage control at the DC bus of hybrid MG is used to evaluate the power flow control with the proposed AEMS. The proposed methodology is validated using MATLAB SIMULINK software.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123842765","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 : 2020-09-23DOI: 10.23919/SpliTech49282.2020.9243713
A. Sciarrone, I. Bisio, Chiara Garibotto, F. Lavagetto, Mehrnaz Hamedani, V. Prada, S. Stara, A. Schenone, Federico Boero, Gianluca Gambari
Given the extreme diffusion of Alzheimer’s disease (AD) and Parkinson’s disease (PD), the necessity for a solution to early detect neurological symptoms of such diseases strongly arose. According to the medical literature, such early detection can be achieved by exploiting the correlation between PD and AD and some external symptoms: the Essential Tremor (ET) and the number of Eye Blinks (EBs). In this paper we present NeuroGlasses, a prototype of sensored glasses able to detect the presence of ET of the head and to count the number of EBs at the same time. To the best of authors’ knowledge this is the first attempt to monitor such external symptoms with a transparent and wearable device without any a-priori training. Numerical results prove the reliability of the proposed approach: NeuroGlasses are able to i) correctly recognize the ET with an overall accuracy above 97% and ii) count the number of EBs with a Root Mean Square Error (RMSE) around 0.4.
{"title":"NeuroGlasses: A Wearable Prototype for Early Detection of Neurological Symptoms","authors":"A. Sciarrone, I. Bisio, Chiara Garibotto, F. Lavagetto, Mehrnaz Hamedani, V. Prada, S. Stara, A. Schenone, Federico Boero, Gianluca Gambari","doi":"10.23919/SpliTech49282.2020.9243713","DOIUrl":"https://doi.org/10.23919/SpliTech49282.2020.9243713","url":null,"abstract":"Given the extreme diffusion of Alzheimer’s disease (AD) and Parkinson’s disease (PD), the necessity for a solution to early detect neurological symptoms of such diseases strongly arose. According to the medical literature, such early detection can be achieved by exploiting the correlation between PD and AD and some external symptoms: the Essential Tremor (ET) and the number of Eye Blinks (EBs). In this paper we present NeuroGlasses, a prototype of sensored glasses able to detect the presence of ET of the head and to count the number of EBs at the same time. To the best of authors’ knowledge this is the first attempt to monitor such external symptoms with a transparent and wearable device without any a-priori training. Numerical results prove the reliability of the proposed approach: NeuroGlasses are able to i) correctly recognize the ET with an overall accuracy above 97% and ii) count the number of EBs with a Root Mean Square Error (RMSE) around 0.4.","PeriodicalId":441331,"journal":{"name":"2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114638592","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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