Smart Garments for Emergency Operators: The ProeTEX Project

Curone, Davide; Secco, Emanuele Lindo; Tognetti, Alessandro; Loriga, G.; Dudnik, Gabriela; Risatti, Michele; Whyte, Rhys; Bonfiglio, Annalisa; Magenes, Giovanni

doi:10.1109/titb.2010.2045003

Cited by 133 publications

(76 citation statements)

References 20 publications

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“…The ProeTEX project, for instance, developed smart garments such as turnout gear, t-shirt, and a pair of boots with 12 sensors, 2 alarms, and 4 network modules [36]. Table 1 provides the definition of different sensor types used in this scenario out of the group of sensors attached to smart garments.…”

Section: Ckan-based Data Integrationmentioning

confidence: 99%

A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud

2018

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A number of sensor devices are widely distributed and used today owing to the accelerated development of IoT technology. In particular, this technological advancement has allowed users to carry IoT devices with more convenience and efficiency. Based on the IoT sensor data, studies are being actively carried out to recognize the current situation or to analyze and predict future events. However, research for existing smart healthcare services is focused on analyzing users' behavior from single sensor data and is also focused on analyzing and diagnosing the current situation of the users. Therefore, a method for effectively managing and integrating a large amount of IoT sensor data has become necessary, and a framework considering data interoperability has become necessary. In addition, an analysis framework is needed not only to provide the analysis of the users' environment and situation from the integrated data, but also to provide guide information to predict future events and to take appropriate action by users. In this paper, we propose a prescriptive analysis framework using a 5W1H method based on CKAN cloud. Through the CKAN cloud environment, IoT sensor data stored in individual CKANs can be integrated based on common concepts. As a result, it is possible to generate an integrated knowledge graph considering interoperability of data, and the underlying data is used as the base data for prescriptive analysis. In addition, the proposed prescriptive analysis framework can diagnose the situation of the users through analysis of user environment information and supports users' decision making by recommending the possible behavior according to the coming situation of the users. We have verified the applicability of the 5W1H prescriptive analysis framework based on the use case of collecting and analyzing data obtained from various IoT sensors.

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Section: Ckan-based Data Integrationmentioning

confidence: 99%

A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud

2018

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“…Fabric technologies could be more adaptable and flexible, although, on the other hand, they are not as tough as accessory based wearables [94].…”

Section: E-textilementioning

confidence: 99%

Healthcare in the Smart Home: A Study of Past, Present and Future

2017

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Ubiquitous or Pervasive Computing is an increasingly used term throughout the technology industry and is beginning to enter the consumer electronics space in its most recent form under the umbrella term: "Internet of Things". One area of focus is in augmenting the home with intelligent, networked sensors and computers to create a Smart Home which opens a host of possibilities for the role of tomorrow's dwelling. As the world's population continues to live longer and consequently experience more medical-related ailments, at the same time institutional healthcare is struggling to cope, the role of the Smart Home becomes paramount to monitoring a dweller's health and providing any necessary intervention. This study looks at the history of Smart Home Healthcare, current research areas, and potential areas of future investigation. Unique categorisations are presented in Activities of Daily Living (ADL) and Personal Sensors, and a thorough look at the application of Smart Home Healthcare is presented. Technology can augment traditional methods of healthcare delivery and in some cases completely replace it. Costs can be reduced and medical adherence can be increased, all of which contribute to a more sustainable and effective model of care.

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“…In this project, portable sensors and devices used for emergency operators to keep far away from dangerous conditions. The clothing system detected heart rate, breathing rate, body temperature, blood oxygen saturation, position, activity, and posture and environmental 50 variables such as external temperature, presence of toxic gases, and heat flux passing through the garments) and these data processed [11]. Not only does e-textile productions use in technical areas but they are also used in fashion area.…”

Section: Electronic Textile Applicationsmentioning

confidence: 99%

The Effect of Perspiring on Conductivity in Electronic Textile Design

Bilir¹,

Gök²

2017

Marmara Fen Bilimleri Dergisi

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It has been seen great advances in technology in recent years. One of these advances has become in smart textile. Although there are many different definitions, usually smart textiles can be defined "sense and respond to environmental stimuli". They have been different application areas such as e-textiles, nano textiles, technical textiles, etc. In the last decades, e-textiles developments come to the fore in the smart textiles. E-textiles contain some digital, electronical circuits, sensors and textile based materials such as conductive fiber, yarn and fabrics. A lot of products can be made in this industry but the effects of environmental stimulis such as human perspiring on these products are not examined so much. In this study, it was examined the conductivity of e-textile fabrics in the changing different pH values according to gender. Acidic and alkaline solutions have been applied on conductive fabrics and results have been examined with SEM and resistance measure. As a result of the study, it is found that perspiration doesn't affect the conductivity on conductive textile surface badly. In contrast, conductivity has the better result when perspiration solution used. Conductivity increased for each pattern and pH solutions because of decreasing resistance.

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Smart Garments for Emergency Operators: The ProeTEX Project

Cited by 133 publications

References 20 publications

A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud

A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud

Healthcare in the Smart Home: A Study of Past, Present and Future

The Effect of Perspiring on Conductivity in Electronic Textile Design

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