... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献
Pub Date : 2021-01-01DOI: 10.5220/0010346201130119
Franklin A. M. Venceslau, R. Gomes, I. Fonseca
This paper descbribes a system for monitoring Smart Campus applications based on IoT protocols. The system have as main goals to support the deployment of new sensors, actuators, and gateways in the campus, based on a pre-deployed network infrasctructure, and to monitor the performance of applications along the time. The network architecture considered in this paper provides reliability through the use of diversity techniques at physical and data link layers, based on the IEEE 802.15.4g SUN standard, and it performs the persistence of information based on time series database. In order to support the network infrastructure evolution and the incorporation of new devices and applications, information about the currently running applications and about the quality of the data links and the wireless network’s overload level can be collected by the proposed system. In this position paper, the architecture of the system is described in details, and initial results are discussed.
{"title":"System for Supporting Implementation and Monitoring of Smart Campus Applications based on IoT Protocols","authors":"Franklin A. M. Venceslau, R. Gomes, I. Fonseca","doi":"10.5220/0010346201130119","DOIUrl":"https://doi.org/10.5220/0010346201130119","url":null,"abstract":"This paper descbribes a system for monitoring Smart Campus applications based on IoT protocols. The system have as main goals to support the deployment of new sensors, actuators, and gateways in the campus, based on a pre-deployed network infrasctructure, and to monitor the performance of applications along the time. The network architecture considered in this paper provides reliability through the use of diversity techniques at physical and data link layers, based on the IEEE 802.15.4g SUN standard, and it performs the persistence of information based on time series database. In order to support the network infrastructure evolution and the incorporation of new devices and applications, information about the currently running applications and about the quality of the data links and the wireless network’s overload level can be collected by the proposed system. In this position paper, the architecture of the system is described in details, and initial results are discussed.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"22 1","pages":"113-119"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90036745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.5220/0010416701590164
P. Abbott, Alessandro Checco, D. Polese
Smallholder farmers provide the majority of food production in sub-Saharan Africa. They will be severely impacted by climate change, especially because they are dependent on rain-fed irrigation. We provide a summary of challenges and opportunities in designing smart farming infrastructure in this context. We observe that innovation in technology and knowledge production is necessary to increase the efficacy of water usage and land management. Such solutions must take into account the technological constraints and their regional variability to be able to provide sustainable and scalable solutions. Such solutions also need to embrace the notion of openness, encouraging collaborative endeavour and avoiding proprietary
{"title":"Smart Farming in sub-Saharan Africa: Challenges and Opportunities","authors":"P. Abbott, Alessandro Checco, D. Polese","doi":"10.5220/0010416701590164","DOIUrl":"https://doi.org/10.5220/0010416701590164","url":null,"abstract":"Smallholder farmers provide the majority of food production in sub-Saharan Africa. They will be severely impacted by climate change, especially because they are dependent on rain-fed irrigation. We provide a summary of challenges and opportunities in designing smart farming infrastructure in this context. We observe that innovation in technology and knowledge production is necessary to increase the efficacy of water usage and land management. Such solutions must take into account the technological constraints and their regional variability to be able to provide sustainable and scalable solutions. Such solutions also need to embrace the notion of openness, encouraging collaborative endeavour and avoiding proprietary","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"1 1","pages":"159-164"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77289493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.5220/0010336400490058
Julian von Wilmsdorff, Malte Lenhart, Florian Kirchbuchner, Arjan Kuijper
In this paper the Linoc prototyping toolkit is presented. It is a sensor toolkit that focuses on fast prototyping of sensor systems, especially on capacitive ones. The toolkit is built around two capacitive and two Electric Potential Sensing (EPS) groups providing unobtrusive proximity detection in the field of Human Computer Interface (HCI). The toolkits focus lies on its usability and connectivity in order to be adapted in future research and novel use cases. A common obstacle in the beginning of a project is the time required to familiarize with present tools and systems, before the actual project can be attended to. Another obstacle while tackling new tasks is the actual physical connection of sensors to the processing unit. This situation can be even worse due to dependencies on previous work, most of the times not fully documented and missing knowledge even if the the original designer is involved. Good toolkits can help to overcome this problem by providing a layer of abstraction and allowing to work on a higher level. If the toolkit however requires too much time to familiarize or behaves too restrictive, its goal has been missed and no benefits are generated. To assess the quality of the Linoc prototyping toolkit, it was evaluated in terms of three different aspects: demonstration, usage and technical performance. The usage study found good reception, a fast learning curve and an interest to use the toolkit in the future. Technical benchmarks for the capacitive sensors show a detectable range equal to its predecessors and several operational prototypes prove that the toolkit can actually be used in projects.
{"title":"Linoc: A Prototyping Platform for Capacitive and Passive Electrical Field Sensing","authors":"Julian von Wilmsdorff, Malte Lenhart, Florian Kirchbuchner, Arjan Kuijper","doi":"10.5220/0010336400490058","DOIUrl":"https://doi.org/10.5220/0010336400490058","url":null,"abstract":"In this paper the Linoc prototyping toolkit is presented. It is a sensor toolkit that focuses on fast prototyping of sensor systems, especially on capacitive ones. The toolkit is built around two capacitive and two Electric Potential Sensing (EPS) groups providing unobtrusive proximity detection in the field of Human Computer Interface (HCI). The toolkits focus lies on its usability and connectivity in order to be adapted in future research and novel use cases. A common obstacle in the beginning of a project is the time required to familiarize with present tools and systems, before the actual project can be attended to. Another obstacle while tackling new tasks is the actual physical connection of sensors to the processing unit. This situation can be even worse due to dependencies on previous work, most of the times not fully documented and missing knowledge even if the the original designer is involved. Good toolkits can help to overcome this problem by providing a layer of abstraction and allowing to work on a higher level. If the toolkit however requires too much time to familiarize or behaves too restrictive, its goal has been missed and no benefits are generated. To assess the quality of the Linoc prototyping toolkit, it was evaluated in terms of three different aspects: demonstration, usage and technical performance. The usage study found good reception, a fast learning curve and an interest to use the toolkit in the future. Technical benchmarks for the capacitive sensors show a detectable range equal to its predecessors and several operational prototypes prove that the toolkit can actually be used in projects.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"27 1","pages":"49-58"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81852679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.5220/0010318800920099
Scott Fazackerley, Nadir Ould-Khessal, R. Lawrence
Embedded sensor devices with limited hardware resources must efficiently collect environmental and industrial time series data for analysis. Performing data analysis on the device requires data storage and indexing that minimizes memory, I/O, and energy usage. This paper presents an index structure that is optimized for the constrained use cases associated with sensor time series collection and analysis. By supporting only planned queries and analysis patterns, the storage and indexing implementation is simplified, and outperforms general techniques based on hashing and trees. The indexing technique is analyzed and compared with other indexing approaches and is adapted to all flash memory types including memory that supports overwriting.
{"title":"Efficient Flash Indexing for Time Series Data on Memory-constrained Embedded Sensor Devices","authors":"Scott Fazackerley, Nadir Ould-Khessal, R. Lawrence","doi":"10.5220/0010318800920099","DOIUrl":"https://doi.org/10.5220/0010318800920099","url":null,"abstract":"Embedded sensor devices with limited hardware resources must efficiently collect environmental and industrial time series data for analysis. Performing data analysis on the device requires data storage and indexing that minimizes memory, I/O, and energy usage. This paper presents an index structure that is optimized for the constrained use cases associated with sensor time series collection and analysis. By supporting only planned queries and analysis patterns, the storage and indexing implementation is simplified, and outperforms general techniques based on hashing and trees. The indexing technique is analyzed and compared with other indexing approaches and is adapted to all flash memory types including memory that supports overwriting.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"42 1","pages":"92-99"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87854312","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 : 2020-04-28DOI: 10.5220/0009373101610166
R. Fishman, M. Ghosh, Amit Mishra, Shmuel Shomrat, Meshi Laks, Roy Mayer, Aakash Jog, E. Ben-Dor, Y. Shacham-Diamand
An approach for system monitoring of smallholder farms. The system will be based on low-cost mobile units (i.e. IoTs, phones) collecting and transmitting data directly from the farms. The IoT information will be merged with available and free access satellite data to form near real-time thematic images to the end-users. It will serve people with low technical literacy who are working with smallholders in developing countries. The novelty of using an integrated interdisciplinary behavioral-technological approach that builds on our respective disciplinary expertise, and the ability to pilot and implement at scale through partnerships, on the ground, allowing gaining new insights into smallholder cultivation and revolutionizing agricultural extension in the developing world. To achieve that goal of Holistic Integrated Precision Agriculture Network (HIPAN) three networks have been established in experimental farms in India: wireless network for “on-the-ground” sensing, virtual network with satellite multispectral imaging-based data and social network collecting the farmers’ inputs. The three networks are fused together and the data is processed using a cloud supported data analysis; the results are visually transferred to the farmers as well as to organizations and companies for their
{"title":"Digital Villages: A Data-Driven Approach to Precision Agriculture in Small Farms","authors":"R. Fishman, M. Ghosh, Amit Mishra, Shmuel Shomrat, Meshi Laks, Roy Mayer, Aakash Jog, E. Ben-Dor, Y. Shacham-Diamand","doi":"10.5220/0009373101610166","DOIUrl":"https://doi.org/10.5220/0009373101610166","url":null,"abstract":"An approach for system monitoring of smallholder farms. The system will be based on low-cost mobile units (i.e. IoTs, phones) collecting and transmitting data directly from the farms. The IoT information will be merged with available and free access satellite data to form near real-time thematic images to the end-users. It will serve people with low technical literacy who are working with smallholders in developing countries. The novelty of using an integrated interdisciplinary behavioral-technological approach that builds on our respective disciplinary expertise, and the ability to pilot and implement at scale through partnerships, on the ground, allowing gaining new insights into smallholder cultivation and revolutionizing agricultural extension in the developing world. To achieve that goal of Holistic Integrated Precision Agriculture Network (HIPAN) three networks have been established in experimental farms in India: wireless network for “on-the-ground” sensing, virtual network with satellite multispectral imaging-based data and social network collecting the farmers’ inputs. The three networks are fused together and the data is processed using a cloud supported data analysis; the results are visually transferred to the farmers as well as to organizations and companies for their","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"9 1","pages":"161-166"},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79508359","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 : 2020-03-10DOI: 10.5220/0009161201420149
Padraig Davidson, M. Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, A. Hotho
Precision beekeeping allows to monitor bees' living conditions by equipping beehives with sensors. The data recorded by these hives can be analyzed by machine learning models to learn behavioral patterns of or search for unusual events in bee colonies. One typical target is the early detection of bee swarming as apiarists want to avoid this due to economical reasons. Advanced methods should be able to detect any other unusual or abnormal behavior arising from illness of bees or from technical reasons, e.g. sensor failure. In this position paper we present an autoencoder, a deep learning model, which detects any type of anomaly in data independent of its origin. Our model is able to reveal the same swarms as a simple rule-based swarm detection algorithm but is also triggered by any other anomaly. We evaluated our model on real world data sets that were collected on different hives and with different sensor setups.
{"title":"Anomaly Detection in Beehives using Deep Recurrent Autoencoders","authors":"Padraig Davidson, M. Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, A. Hotho","doi":"10.5220/0009161201420149","DOIUrl":"https://doi.org/10.5220/0009161201420149","url":null,"abstract":"Precision beekeeping allows to monitor bees' living conditions by equipping beehives with sensors. The data recorded by these hives can be analyzed by machine learning models to learn behavioral patterns of or search for unusual events in bee colonies. One typical target is the early detection of bee swarming as apiarists want to avoid this due to economical reasons. Advanced methods should be able to detect any other unusual or abnormal behavior arising from illness of bees or from technical reasons, e.g. sensor failure. \u0000In this position paper we present an autoencoder, a deep learning model, which detects any type of anomaly in data independent of its origin. Our model is able to reveal the same swarms as a simple rule-based swarm detection algorithm but is also triggered by any other anomaly. We evaluated our model on real world data sets that were collected on different hives and with different sensor setups.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"11 1","pages":"142-149"},"PeriodicalIF":0.0,"publicationDate":"2020-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74280761","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 : 2020-02-28DOI: 10.5220/0009159701360141
Tobias Scheipel, M. Baunach
Embedded systems development usually starts with hardware engineering based on specific requirements of the systems. These requirements are mainly derived from the needs of the not yet developed software to be executed on the system. This process is predictive and many iterations are thus needed, as new requirements often arise during the software development period. In the future, the market will demand more and more sophisticated embedded systems with a much reduced time to market. It will thus be inevitable that system prototypes and series products will need to be created as fast as possible. To enable this, we propose a top-down approach termed papagenoX, dealing with the question of “How to generate all layers X of the embedded systems stack including hardware and reconfigurable logic units from application software?”. The present work is a work in progress and deals with the definition of the research questions and several ideas and concepts of how to fundamentally solve them. Hence, it aims at introducing ideas to create a generator for embedded systems electronics, reconfigurable logic and software.
{"title":"papagenoX: Generation of Electronics and Logic for Embedded Systems from Application Software","authors":"Tobias Scheipel, M. Baunach","doi":"10.5220/0009159701360141","DOIUrl":"https://doi.org/10.5220/0009159701360141","url":null,"abstract":"Embedded systems development usually starts with hardware engineering based on specific requirements of the systems. These requirements are mainly derived from the needs of the not yet developed software to be executed on the system. This process is predictive and many iterations are thus needed, as new requirements often arise during the software development period. In the future, the market will demand more and more sophisticated embedded systems with a much reduced time to market. It will thus be inevitable that system prototypes and series products will need to be created as fast as possible. To enable this, we propose a top-down approach termed papagenoX, dealing with the question of “How to generate all layers X of the embedded systems stack including hardware and reconfigurable logic units from application software?”. The present work is a work in progress and deals with the definition of the research questions and several ideas and concepts of how to fundamentally solve them. Hence, it aims at introducing ideas to create a generator for embedded systems electronics, reconfigurable logic and software.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"72 1","pages":"136-141"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86955222","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 : 2020-02-28DOI: 10.5220/0008979401050112
Mathieu Bourdeau, David Werner, P. Basset, E. Nefzaoui
Enhancing residential buildings energy efficiency has become a critical goal to take up current challenges of human comfort, urbanization growth and the consequent energy consumption increase. In a context of integrated smart infrastructures, sensor networks offer a relevant solution to support building energy consumption monitoring, operation and prediction. The amount of accessible data with such networks also opens new prospects to better consider key parameters such as human behaviour and to lead to more efficient energy retrofit of existing buildings. However, sensor networks planning and implementation in general, and in existing buildings in particular, is a particularly complex task facing many challenges and affecting the performances of such a promising solution. In the present paper, we report on a field experiment of a sensor network deployment involving more than 250 sensors in three collective residential buildings in Paris region for the evaluation of a deep energy retrofit. More specifically, we describe the whole process of the sensor network design and roll-out and highlight the main critical aspects in such complex process. We also provide a feedback after several months of the sensor network operation and preliminary analysis of collected data. Reported results path the way for an efficient and optimized design and deployment of sensor networks for energy and indoor environment quality monitoring in existing buildings.
{"title":"A Sensor Network for Existing Residential Buildings Indoor Environment Quality and Energy Consumption Assessment and Monitoring: Lessons Learnt from a Field Experiment","authors":"Mathieu Bourdeau, David Werner, P. Basset, E. Nefzaoui","doi":"10.5220/0008979401050112","DOIUrl":"https://doi.org/10.5220/0008979401050112","url":null,"abstract":"Enhancing residential buildings energy efficiency has become a critical goal to take up current challenges of human comfort, urbanization growth and the consequent energy consumption increase. In a context of integrated smart infrastructures, sensor networks offer a relevant solution to support building energy consumption monitoring, operation and prediction. The amount of accessible data with such networks also opens new prospects to better consider key parameters such as human behaviour and to lead to more efficient energy retrofit of existing buildings. However, sensor networks planning and implementation in general, and in existing buildings in particular, is a particularly complex task facing many challenges and affecting the performances of such a promising solution. In the present paper, we report on a field experiment of a sensor network deployment involving more than 250 sensors in three collective residential buildings in Paris region for the evaluation of a deep energy retrofit. More specifically, we describe the whole process of the sensor network design and roll-out and highlight the main critical aspects in such complex process. We also provide a feedback after several months of the sensor network operation and preliminary analysis of collected data. Reported results path the way for an efficient and optimized design and deployment of sensor networks for energy and indoor environment quality monitoring in existing buildings.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"1 1","pages":"105-112"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87643532","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 : 2020-01-01DOI: 10.5220/0009430700070018
S. Olariu
: Our paper was inspired by the recent Society 5.0 initiative of the Japanese Government that seeks to create a sustainable human-centric society by putting to work recent advances in technology: sensor networks, edge computing, IoT ecosystems, AI, Big Data, robotics, to name just a few. The main contribution of this work is a vision of how these technological advances can contribute, directly or indirectly, to making Society 5.0 reality. For this purpose we build on a recently-proposed concept of Marketplace of Services that, in our view, will turn out to be one of the cornerstones of Society 5.0. Instead of referring to Society 5.0 directly, throughout the paper we shall define a generic Smart Community that implements a subset of the goals of Society 5.0. We show how digital technology in conjunction with the Marketplace of services can contribute to enabling and promoting sustainable Smart Communities. Very much like Society 5.0, our Smart Community can provide a large number of diverse and evolving human-centric services offered as utilities and sold on a metered basis. The services offered by the Smart Community can be synthesized, using the latest technology (e.g. 3D printing, robotics, Big Data analytics, AI, etc.), from a hierarchy of raw resources or other services. The residents of the Smart Community can purchase as much or as little of these services as they find suitable to their needs and are billed according to a pay-as-you-go business model.
{"title":"Smart Communities: From Sensors to Internet of Things and to a Marketplace of Services","authors":"S. Olariu","doi":"10.5220/0009430700070018","DOIUrl":"https://doi.org/10.5220/0009430700070018","url":null,"abstract":": Our paper was inspired by the recent Society 5.0 initiative of the Japanese Government that seeks to create a sustainable human-centric society by putting to work recent advances in technology: sensor networks, edge computing, IoT ecosystems, AI, Big Data, robotics, to name just a few. The main contribution of this work is a vision of how these technological advances can contribute, directly or indirectly, to making Society 5.0 reality. For this purpose we build on a recently-proposed concept of Marketplace of Services that, in our view, will turn out to be one of the cornerstones of Society 5.0. Instead of referring to Society 5.0 directly, throughout the paper we shall define a generic Smart Community that implements a subset of the goals of Society 5.0. We show how digital technology in conjunction with the Marketplace of services can contribute to enabling and promoting sustainable Smart Communities. Very much like Society 5.0, our Smart Community can provide a large number of diverse and evolving human-centric services offered as utilities and sold on a metered basis. The services offered by the Smart Community can be synthesized, using the latest technology (e.g. 3D printing, robotics, Big Data analytics, AI, etc.), from a hierarchy of raw resources or other services. The residents of the Smart Community can purchase as much or as little of these services as they find suitable to their needs and are billed according to a pay-as-you-go business model.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"27 1","pages":"7-18"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73896994","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 : 2020-01-01DOI: 10.5220/0008976700520060
H. Abdessalem, A. Byrns, M. Cuesta, V. Manera, P. Robert, M. Bruneau, S. Belleville, C. Frasson
Negative emotions such as anxiety, frustration, or apathy can have an impact on the brain capability in terms of memory and cognitive functions. This is particularly visible in Alzheimer’s disease where the participants can have a deterioration of their brain connections which are often the cause of the disorders detected in Alzheimer's participants. It seems important to reduce these symptoms to allow better access to memory and cognitive abilities. Immersion in Virtual Reality is a means of providing the participant with a sense of presence in an environment that isolates them from external factors that can induce negative emotions. The virtual travel is a method that can mobilize the attention of the subject and revive their interest and curiosity. We present here, an experiment in which a participant is immersed in a virtual train using a virtual headset and EEG device to measure the brain signals. To measure the impact of this train on the memory and cognitive functions, some cognitive tasks have been included before and after the travel. Experiments have been done on participants with mild cognitive disorder. Preliminary results show an increase of memory functions and in certain cases of cognitive functions, while negative emotions are reduced.
{"title":"Application of Virtual Travel for Alzheimer's Disease","authors":"H. Abdessalem, A. Byrns, M. Cuesta, V. Manera, P. Robert, M. Bruneau, S. Belleville, C. Frasson","doi":"10.5220/0008976700520060","DOIUrl":"https://doi.org/10.5220/0008976700520060","url":null,"abstract":"Negative emotions such as anxiety, frustration, or apathy can have an impact on the brain capability in terms of memory and cognitive functions. This is particularly visible in Alzheimer’s disease where the participants can have a deterioration of their brain connections which are often the cause of the disorders detected in Alzheimer's participants. It seems important to reduce these symptoms to allow better access to memory and cognitive abilities. Immersion in Virtual Reality is a means of providing the participant with a sense of presence in an environment that isolates them from external factors that can induce negative emotions. The virtual travel is a method that can mobilize the attention of the subject and revive their interest and curiosity. We present here, an experiment in which a participant is immersed in a virtual train using a virtual headset and EEG device to measure the brain signals. To measure the impact of this train on the memory and cognitive functions, some cognitive tasks have been included before and after the travel. Experiments have been done on participants with mild cognitive disorder. Preliminary results show an increase of memory functions and in certain cases of cognitive functions, while negative emotions are reduced.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"19 1","pages":"52-60"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86063375","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}
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks
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