scholarly journals Utilizing Smart Textiles-Enabled Sensorized Toy and Playful Interactions for Assessment of Psychomotor Development on Children

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Mario Vega-Barbas ◽  
Iván Pau ◽  
Javier Ferreira ◽  
Evelyn Lebis ◽  
Fernando Seoane
Keyword(s):  
Healthcare Services ◽  
User Acceptance ◽  
Psychomotor Development ◽  
Sensor Technology ◽  
User Engagement ◽  
Smart Textiles ◽  
Everyday Objects ◽  
Multimodal Sensing ◽  
Smart Textile ◽  
Interesting Approach

Emerging pervasive technologies like smart textiles make it possible to develop new and more accessible healthcare services for patients independently of their location or time. However, none of these new e-health solutions guarantee a complete user acceptance, especially in cases requiring extensive interaction between the user and the solution. So far, researchers have focused their efforts on new interactions techniques to improve the perception of privacy and confidence of the people using e-health services. In this way, the use of smart everyday objects arises as an interesting approach to facilitate the required interaction and increase user acceptance. Such Smart Daily Objects together with smart textiles provide researchers with a novel way to introduce sophisticated sensor technology in the daily life of people. This work presents a sensorized smart toy for assessment of psychomotor development in early childhood. The aim of this work is to design, develop, and evaluate the usability and playfulness of a smart textile-enabled sensorized toy that facilitates the user engagement in a personalized monitoring healthcare activity. To achieve this objective the monitoring is based on a smart textile sensorized toy as catalyzer of acceptance and multimodal sensing sources to monitor psychomotor development activities during playtime.

scholarly journals Modular Piezoresistive Smart Textile for State Estimation of Cloths

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 222
Author(s):  
Remko Proesmans ◽  
Andreas Verleysen ◽  
Robbe Vleugels ◽  
Paula Veske ◽  
Victor-Louis De Gusseme ◽  
...  
Keyword(s):  
State Estimation ◽  
Human Robot Interaction ◽  
Robotic Manipulation ◽  
Robot Interaction ◽  
Smart Textiles ◽  
Seamless Integration ◽  
Everyday Objects ◽  
Output Stability ◽  
Smart Textile ◽  
Robotic Learning

Smart textiles have found numerous applications ranging from health monitoring to smart homes. Their main allure is their flexibility, which allows for seamless integration of sensing in everyday objects like clothing. The application domain also includes robotics; smart textiles have been used to improve human-robot interaction, to solve the problem of state estimation of soft robots, and for state estimation to enable learning of robotic manipulation of textiles. The latter application provides an alternative to computationally expensive vision-based pipelines and we believe it is the key to accelerate robotic learning of textile manipulation. Current smart textiles, however, maintain wired connections to external units, which impedes robotic manipulation, and lack modularity to facilitate state estimation of large cloths. In this work, we propose an open-source, fully wireless, highly flexible, light, and modular version of a piezoresistive smart textile. Its output stability was experimentally quantified and determined to be sufficient for classification tasks. Its functionality as a state sensor for larger cloths was also verified in a classification task where two of the smart textiles were sewn onto a piece of clothing of which three states are defined. The modular smart textile system was able to recognize these states with average per-class F1-scores ranging from 85.7 to 94.6% with a basic linear classifier.

scholarly journals Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

2018 ◽  
Vol 8 (6) ◽  
pp. 5118 ◽  
Author(s):  
Nabeel Salih Ali ◽  
Zaid Abdi Alkaream Alyasseri ◽  
Abdulhussein Abdulmohson
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Electronic Circuit ◽  
Healthcare Services ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Medical Monitoring ◽  
Monitoring Technique ◽  
Arduino Microcontroller ◽  
User Friendly

Wireless Sensor Networks (WSNs) for healthcare have emerged in the recent years. Wireless technology has been developed and used widely for different medical fields. This technology provides healthcare services for patients, especially who suffer from chronic diseases. Services such as catering continuous medical monitoring and get rid of disturbance caused by the sensor of instruments. Sensors are connected to a patient by wires and become bed-bound that less from the mobility of the patient. In this paper, proposed a real-time heart pulse monitoring system via conducted an electronic circuit architecture to measure Heart Pulse (HP) for patients and display heart pulse measuring via smartphone and computer over the network in real-time settings. In HP measuring application standpoint, using sensor technology to observe heart pulse by bringing the fingerprint to the sensor via used Arduino microcontroller with Ethernet shield to connect heart pulse circuit to the internet and send results to the web server and receive it anywhere. The proposed system provided the usability by the user (user-friendly) not only by the specialist. Also, it offered speed andresults accuracy, the highest availability with the user on an ongoing basis, and few cost.

scholarly journals Smart Textiles: Smart Textile‐Based Personal Thermal Comfort Systems: Current Status and Potential Solutions (Adv. Mater. Technol. 5/2020)

2020 ◽  
Vol 5 (5) ◽  
pp. 2070025
Author(s):  
Jordan Tabor ◽  
Kony Chatterjee ◽  
Tushar K. Ghosh
Keyword(s):  
Thermal Comfort ◽  
Current Status ◽  
Smart Textiles ◽  
Smart Textile

scholarly journals iCompose: context-aware physical user interface for application composition

2011 ◽  
Vol 1 (4) ◽  
Author(s):  
Oleg Davidyuk ◽  
Ekaterina Gilman ◽  
Iván Milara ◽  
Jussi Mäkipelto ◽  
Mikko Pyykkönen ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Evaluation Study ◽  
User Acceptance ◽  
User Evaluation ◽  
Context Aware ◽  
Dynamic Nature ◽  
Everyday Objects ◽  
Everyday Activities ◽  
Computing Environments ◽  
Ubiquitous Computing Environments

AbstractUbiquitous computing environments advocate creating applications by plugging together various resources (mobile devices, displays, augmented everyday objects, and so on) and Web Services to support the user’s everyday activities and needs. This approach is referred to as application composition, and such applications are called composite. Due to the dynamic nature of ubiquitous environments, application composition has to be supported at runtime, so that the applications are able to adapt to the situation within the environment and other contexts. Application composition is usually performed by autonomous context-aware mechanisms that provide limited or no control for users. Still, users need to be aware of their environments and be able to control and configure applications when they are composed and executed. Towards this goal we present in this article a context-aware application composition system based on the iCompose interface for composing and controlling applications at runtime. Users compose applications by simply touching the resources in the environment with their mobile devices, while the iCompose interface provides feedback and assists users by suggesting them possible further actions. The interface relies on a rule-based reasoner and utilizes various context sources to support users dynamically, according to the situation in which they compose applications. We present a complete implementation of the system and report the results of a user evaluation study conducted with 21 participants. This study assesses the issues of control, usability, feasibility and user acceptance of the iCompose interface for context-aware application composition and the prototype as a whole.

scholarly journals UTILIZING SMART TEXTILES IN INTERIOR DESIGN TO REPLACE CONVENTIONAL ARCHITECTURAL FINISHES

2019 ◽  
Vol 2019 ◽  
pp. 105-109
Author(s):  
AMNA KHALID QURESHI
Keyword(s):  
Interior Design ◽  
Cost Effective ◽  
Indoor Climate ◽  
Smart Textiles ◽  
Textile Materials ◽  
Design Concepts ◽  
Competitive Price ◽  
Smart Textile ◽  
Fabric Structures ◽  
Present World

Many architects and designers coincide that fabric structures have an imperative role to play in creating an ecofriendly future. In recent years, the use of smart textiles has been particularly popular in the construction practices. These are hailed as environmentally friendly, deliberated as architecturally aesthetic and are usually cost effective. There is a growing demand for hybrid textile materials that combine strength and functionality in a lightweight product at a competitive price. These materials are developed with advanced technical interventions. This paper aims to conceptualize the idea of using smart textiles in the interior architecture to ensure sustainability by replacing the conventional architectural finishes. The use of smart textiles that fetches the possibilities offered by both textile and interior design in the present world has been highlighted with examples. Studies illustrate that the use of smart textile materials have several benefits in the built environment in terms of weight, transparency, adaptability, indoor climate, atmosphere and acoustics. Examples are taken from the superlative case studies from all across the world. The research combines the versatile information and explores the diversity of smart textiles, presenting a framework of future prospects for the utilization of the materials in the modern interior design concepts.

scholarly journals SMART TEXTILES TO PROMOTE MULTIDISCIPLINARY STEM TRAINING

2019 ◽  
Vol 2019 ◽  
pp. 174-177
Author(s):  
Ion Razvan RADULESCU ◽  
Carmen GHITULEASA ◽  
Emilia VISILEANU ◽  
Lilioara SURDU ◽  
Razvan SCARLAT ◽  
...  
Keyword(s):  
Textile Industry ◽  
Strategic Partnership ◽  
Vocational Education And Training ◽  
Free Access ◽  
Smart Textiles ◽  
Learning Platform ◽  
Smart Textile ◽  
Project Smart ◽  
E Learning ◽  
Design And Manufacture

Smart textiles consist of multi-disciplinary knowledge. Disciplines such as physics, mathematics, material science or electrics is needed in order to be able to design and manufacture a smart textiles product. This is why knowledge in smart textiles may be used to showcase high school and university students in basic years of preparation some applications of technical disciplines they are learning. The Erasmus+ project “Smart textiles for STEM training – Skills4Smartex” is a strategic partnership project for Vocational Education and Training aiming to promote additional knowledge and skills for trainees in technical fields, for a broader understanding of interconnections and application of STEM, via smart textiles. Skills4Smartex is an ongoing project within the period Oct. 2018-Sept. 2020, with a partnership of six research providers in textiles www.skills4smartex.eu. The project has three intellectual outputs: the Guide for smart practices (O1), the Course in smart textiles (O2) and the Dedicated e-learning Instrument (O3). The Guide for smart practices consists in the analysis of a survey with 63 textile companies on partnership level and interviews with 18 companies. Main aim of O1 is to transfer from source site to target sites technical and smart textile best practices and the profile of workforce needed for the future textile industry. The needs analysis achieved within O1will serve to conceive the Course for smart textiles with 42 modules (O2), to be accessed via the Dedicated e-learning Instrument (O3). All outputs are available with free access on the e-learning platform: www.adva2tex.eu/portal.

scholarly journals Characterization and Lubrication of Tube-Guided Shape-Memory Alloy Actuators for Smart Textiles

Robotics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 94
Author(s):  
Tim Helps ◽  
Adithya Vivek ◽  
Jonathan Rossiter
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
High Strength ◽  
Graphite Powder ◽  
Tungsten Disulfide ◽  
Smart Textiles ◽  
Flexible Materials ◽  
Smart Textile ◽  
Low Mass ◽  
Turn Radius

Smart textiles are flexible materials with interactive capabilities such as sensing, actuation, and computing, and in recent years have garnered considerable interest. Shape-memory alloy (SMA) wire is a well-suited for smart textiles due to its high strength, small size, and low mass. However, the contraction of SMA wire is low, limiting its usefulness. One solution to increasing net contraction is to use a long SMA wire and guide it inside a tube that is wound back and forth or coiled inside a smart textile. In this article, we characterize the performance of tube-guided SMA wire actuators. We investigate the effect of turn radius and number of loops, showing that the stroke of an SMA-based system can be improved by up to 69.81% using the tube-guided SMA wire actuator concept. Finally, we investigate how tube-guided SMA wire actuators can be lubricated to improve their performance. Coarse graphite powder and tungsten disulfide lubricant both delivered improvements in stroke compared with an unlubricated system.

scholarly journals Characteristic Latent Features for Analyzing Digital Mental Health Interaction and Improved Explainability

2020 ◽  
Author(s):  
Max-Marcel Theilig ◽  
Ashley Arehart Knapp ◽  
Jennifer Nicholas ◽  
Rüdiger Zarnekow ◽  
David Curtis Mohr
Keyword(s):  
Mental Health ◽  
Data Science ◽  
Digital Health ◽  
A Priori ◽  
Sensor Technology ◽  
User Engagement ◽  
Behavioral Strategies ◽  
Data Set ◽  
Public Data ◽  
Latent Features

Abstract Background: Using smartphones and wearable sensor technology has sparked a broad engagement of data science and machine learning methods to leverage the complex, assorted amount of data. Despite verified processes, there is a reported underdevelopment of user engagement concepts, and the desire for high accuracy or significance has shown to lead to low explicability and irreproducibility. To overcome these issues, we aim to analyze principal characteristics of everyday behavior in digital mental health. Methods: We generated five latent features based on previous research, expert opinions from digital mental health, and informed by data. The features were analyzed with descriptive statistics and data visualization. We carried out two rounds of evaluations with data from 12,400 users of IntelliCare, a mental health platform with 12 apps. First, we focused to proof concept and second, we assessed reproducibility by drawing conclusion from distribution differences. User data was drawn from both research trials and public deployment on Google Play. Results: Our algorithms showed increased rationale for the basic usage of apps with different underlying behavioral strategies. Measures of the distribution of user’s allocated attention, the user’s circadian behavior, their consecutive commitment to a specific strategy, and users’ interaction trajectory are perceived as transferable to the public data set. Because distributions between research trial and public deployment were similar, consistency was shown regarding the underlying behavioral strategies: psychoeducation and goal setting are used as a catalyst to overcome the users’ primary obstacles, sleep hygiene is addressed most regularly, while regular self-reflective thinking is avoided. Relaxation as well as cognitive reframing have increased variance in commitment among public users, indicating the challenging nature of these apps. The relative course of the engagement (learning curve) is similar in research and public data. Conclusions: The deliberate, a-priori engineered features were reproducible across app users from both data sets. These features led to improved results as well as increased interpretability, providing an increased understanding of how people engage with multiple mental health apps over time. Since we based the generation of features on generic interaction proxies, these methods are applicable to other cases in artificial intelligence and digital health.

scholarly journals Smart Shirts for Monitoring Physiological Parameters: Scoping Review

10.2196/18092 ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. e18092
Author(s):  
Hamzeh Khundaqji ◽  
Wayne Hing ◽  
James Furness ◽  
Mike Climstein
Keyword(s):  
Health Care ◽  
Early Diagnosis ◽  
Outcome Measures ◽  
Scoping Review ◽  
Observational Studies ◽  
Emergency Service ◽  
Smart Textiles ◽  
Smart Textile ◽  
Prototype Design ◽  
Physiological Outcome

Background The recent trends of technological innovation and widescale digitization as potential solutions to challenges in health care, sports, and emergency service operations have led to the conception of smart textile technology. In health care, these smart textile systems present the potential to aid preventative medicine and early diagnosis through continuous, noninvasive tracking of physical and mental health while promoting proactive involvement of patients in their medical management. In areas such as sports and emergency response, the potential to provide comprehensive and simultaneous physiological insights across multiple body systems is promising. However, it is currently unclear what type of evidence exists surrounding the use of smart textiles for the monitoring of physiological outcome measures across different settings. Objective This scoping review aimed to systematically survey the existing body of scientific literature surrounding smart textiles in their most prevalent form, the smart shirt, for monitoring physiological outcome measures. Methods A total of 5 electronic bibliographic databases were systematically searched (Ovid Medical Literature Analysis and Retrieval System Online, Excerpta Medica database, Scopus, Cumulative Index to Nursing and Allied Health Literature, and SPORTDiscus). Publications from the inception of the database to June 24, 2019 were reviewed. Nonindexed literature relevant to this review was also systematically searched. The results were then collated, summarized, and reported. Results Following the removal of duplicates, 7871 citations were identified. On the basis of title and abstract screening, 7632 citations were excluded, whereas 239 were retrieved and assessed for eligibility. Of these, 101 citations were included in the final analysis. Included studies were categorized into four themes: (1) prototype design, (2) validation, (3) observational, and (4) reviews. Among the 101 analyzed studies, prototype design was the most prevalent theme (50/101, 49.5%), followed by validation (29/101, 28.7%), observational studies (21/101, 20.8%), and reviews (1/101, 0.1%). Presented prototype designs ranged from those capable of monitoring one physiological metric to those capable of monitoring several simultaneously. In 29 validation studies, 16 distinct smart shirts were validated against reference technology under various conditions and work rates, including rest, submaximal exercise, and maximal exercise. The identified observational studies used smart shirts in clinical, healthy, and occupational populations for aims such as early diagnosis and stress detection. One scoping review was identified, investigating the use of smart shirts for electrocardiograph signal monitoring in cardiac patients. Conclusions Although smart shirts have been found to be valid and reliable in the monitoring of specific physiological metrics, results were variable for others, demonstrating the need for further systematic validation. Analysis of the results has also demonstrated gaps in knowledge, such as a considerable lag of validation and observational studies in comparison with prototype design and limited investigation using smart shirts in pediatric, elite sports, and emergency service populations.

Embedded Smart Textile Detecting Equipment Base on Flexibility Sensors

2014 ◽  
Vol 670-671 ◽  
pp. 1218-1221
Author(s):  
Yu Chuan Wu ◽  
Yong Xue ◽  
Feng Hu
Keyword(s):  
Older People ◽  
Strain Sensors ◽  
Active Ageing ◽  
Smart Textiles ◽  
Wearable Technologies ◽  
Smart Textile ◽  
The Everyday ◽  
Promising Application ◽  
Protective Textiles ◽  
Textile Products

This paper considers the application of flexibility sensors and wearable technologies on smart textiles to enhance the functionality of clothing and protective textiles for the benefit of people, especially older people. By introducing flexibility sensors based strain sensors, we can find its potential of the flexibility science in developed clothing and protective textiles. It has promising application on smart textile products and services appropriate to the needs and aspirations of active users. It shows us how the appropriate design of flexibility sensors has the potential to promote independence and wellbeing, and may enable participation in healthy exercise in the everyday lives of the active ageing.

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