Heat-related illnesses and deaths are significant public health problems. Extreme heat is the No.1 deadliest form of weather on average in 1990-2019 in the US according to the National Weather Service. Measurements and forecasts made at regional weather stations are a common data source of Heatwave Early Warning Systems. However, regional weather stations provide inaccurate estimates of the heat index that people experience in different microclimates. Introducing a direct measurement of heat index experienced by individuals via wearable sensors will allow more accurate exposure assessment and identification of factors associated with dangerous exposures to extreme heat. The goal of this dissertation is to characterize the individually experienced heat index exposure via wearable sensors in an urban and a rural location in summer in a southern part of the United States. In the first study, 51 outdoor workers in Birmingham, Alabama wore a small thermometer attached to their shoe. Their occupational Wet Bulb Globe Temperatures (WBGT), a comprehensive heat exposure index, was estimated from either temperature from the shoe thermometers or nearby weather stations. In the second and third studies, 88 urban participants and 89 rural participants completed a seven-day intervention where they performed normal activity on Days 1-2 and spent an additional 30 minutes outdoors daily on Days 3-7. Participants wore a small thermometer attached to the shoe and a pedometer at their waist to track steps. Neighborhood hygrometers/thermometers were deployed close to participants' homes to measure neighborhood level heat indexes. In the fourth study, we conducted a phone survey including 101 participants in the same urban and rural locations to examine how their heat-health behaviors changed due to COVID-19 and high profiles of police brutality cases in Summer 2020 compared to previous summers. The results demonstrated that (1) a wearable thermometer on the shoe was a feasible way to measure individually experienced temperatures; (2) among outdoor workers, WBGT from shoe thermometer temperatures estimated more hours in dangerous exposure categories and recommended more protective work-rest schedules compared to WBGT from weather station temperatures; (3) neighborhood level heat indexes improved the prediction of individually experienced heat indexes compared to weather station data alone; (4) rural participants experienced higher heat index exposures than urban participants, after accounting for ambient conditions; (5) spending a small amount of additional time outdoors was a feasible and effective intervention where participants walked more steps and had lower individually experienced heat indexes during the intervention days compared to baseline days; (6) a significantly lower percent of participants reported they would use public cooling centers in Summer 2020 compared to previous summers. Taken together, the results of these studies identified methods for more accurate heat exposure assessment and its application in monitoring heat-safety while promoting physical activity via time spent outdoors in the summer. Future work could incorporate physiological response monitoring linked to simultaneous individually experienced heat exposure to further characterize exposure-response relationships across different populations. Additionally, a longer intervention and more advanced wearable devices such Fitbit, Apple Watches could be used to monitor sustainability of the intervention and intervention benefits beyond short term increases in physical activity, respectively. / Doctor of Philosophy / Extreme high temperatures/humidity can bring dangerous adverse effects in people. Extreme heat is on average the deadliest form of weather in 1990-2019 in the US estimated by National Weather Service. Heatwave Early Warning Systems are introduced to closely monitor extreme heat events, estimate the magnitude of health consequences due to extreme heat, send warning messages to vulnerable populations, and trigger response plans to reduce the dangerous health effects of heat. Heatwave Early Warning Systems generally rely on the measurement and forecasts from regional weather stations. However, the temperature/humidity measurements made at weather stations can be different from the temperature/humidity people experience. People can live far away from weather stations and they move through indoor and outdoor locations, where weather station measurements will not represent temperatures experienced, particularly in climate-controlled indoor settings. Therefore, we recruited participants in an urban and a rural location and had each participant wear a small thermometer clipped to their shoe to directly measure the temperature they experienced as they went about their normal activities. In the first study, 51 outdoor workers wore this small thermometer on their shoe at work. We calculated a comprehensive heat exposure index from either the shoe thermometer temperatures or nearby weather station temperatures. In the second and third studies, 88 urban participants and 89 rural participants completed a seven-day intervention where they performed normal activities on Days 1-2 and spent an additional 30 minutes outdoors daily on Days 3-7. Participants wore the small thermometer clipped to the shoe and a pedometer at their waist to track how many steps they walked. We placed temperature/humidity sensors close to participants' homes to take measurements at a neighborhood level. In the fourth study, we conducted a phone survey including 101 participants in the same urban and rural locations to examine whether they had different cooling methods due to the COVID-19 pandemic and high profiles of police brutality cases in Summer 2020 compared to previous summers. The results demonstrated that (1) a small thermometer clipped on the shoe was a feasible way to measure temperatures at the individual level; (3) among outdoor workers, the comprehensive heat exposure index using temperatures from the shoe thermometers estimated more hours when outdoor workers were at a risk of dangerous exposure to extreme heat, and it recommended more rest time for workers to cool off compared to using weather station temperatures alone; (3) neighborhood level temperature/humidity was more representative of the temperatures recorded from thermometers on the shoe compared to nearby weather stations; (4) rural participants experienced higher temperature/humidity than urban participants, even when their nearby weather station temperature measurements were the same; (5) spending a small amount of additional time outdoors is a feasible and effective intervention where participants walked more steps and experienced lower temperature/humidity during the intervention days compared to baseline days; (6) a smaller number of participants reported they would use public cooling centers/spaces (e.g., air-conditioned library, air-conditioned churches, waterparks) to cool down due to fear of contracting COVID-19 and safety concerns brought by the high profiles of police brutality cases in Summer 2020 compared to previous summers. Taken together, the results of these studies showed that the wearable thermometers clipped on the shoe could provide more accurate assessment of temperatures experienced by participants compared to weather stations. This method could be used in future outdoor time interventions to monitor and ensure participants safely spend time outdoors while minimizing the risk of heat-related illness. In future work, more advanced sensors (e.g., Fitbit, Apple Watch) can be worn by participants to measure physiological responses across different temperatures experienced. Additionally, a longer intervention time can be used to test if participants would continue to spend additional time outdoors.

This thesis explores a concept by Sonvox AB called VoiceUp. The concept is that of a mobile application that communicates with a wearable voice measuring device and visualizes voice information in a way that helps singers. Sonvox current main product is VoxLog—a system for long-term voice monitoring, mostly used for research purposes. Sonvox believes that their voice analysis technology could be relevant to a larger audience. The main goal for the thesis is to explore if a wearable voice measuring device could be relevant to singers, and in what ways. To do this, a needs analysis was conducted where song teachers and singers were interviewed. In order to draw statistical conclusions about the occurrence of needs, a survey was conducted where people with an interest for singing were the targeted respondents. Based on the result from the needs analysis, the VoiceUp concept was refined, resulting in an idea of a product that measures and visualizes how much the user sings and speaks with the aim to increase singers motivation to practice singing more regularly. Based on theory related to self-tracking, a design proving the concept was created, resulting in a mockup and a simple prototype. The mockup and the prototype can together be seen as one example of how self-tracking technology could be relevant to singers.

Tesis por compendio / [ES] La integración de electrónica en los tejidos para obtener nuevas funcionalidades es una de las apuestas de futuro de la industria textil y de la moda. Al estar compuestos parcialmente por tejido, los textiles electrónicos proporcionan a los usuarios un mayor confort, durabilidad y ligereza que otros dispositivos, manteniendo al mismo tiempo las propiedades electrónicas. No obstante, conseguir estas nuevas funcionalidades, a un coste asequible y asegurando la flexibilidad y ligereza propias de los tejidos, sigue siendo un reto para el sector. El área de la electrónica impresa ha permitido el desarrollo de una electrónica flexible combinando métodos de impresión tradicionales con el uso de tintas electrónicas. La técnica de impresión flexográfica destaca entre las demás por ofrecer altas velocidades de fabricación, calidad y alta productividad a bajo coste. En el ámbito textil, sin embargo, su incorporación es todavía muy reciente y no hay suficientes estudios para su aplicación. En este contexto, esta tesis doctoral tiene como objetivo fundamental estudiar la novedosa aplicación de la técnica de la flexografía sobre materiales textiles. Para ello, se ha tomado como base los actuales conocimientos de la autora en el área de la electrónica impresa textil empleando la tecnología serigráfica. Con este fin, durante el desarrollo de la tesis se realiza, en primer lugar, el estudio de los parámetros necesarios para la aplicación de dicha tecnología en diferentes substratos. Del estudio se obtienen diferentes valores adecuados para la impresión mediante flexografía según si el sustrato se trata de un tejido, un no-tejido, un sustrato polimérico o un papel siliconado. En segundo lugar, se definen los protocolos que permiten la integración de tintas con características eléctricas en las telas empleando la tecnología flexográfica. Por un lado, se estudia el impacto de los parámetros estructurales de un tejido de calada en la conductividad de la tinta impresa y, por otro lado, la influencia del material de la trama en la conductividad de elementos conductores-resistivos. Para ello, se realiza una impresión controlada sobre tejidos de calada utilizando la misma tinta conductora de plata y se analizan las propiedades físicas y eléctricas de las muestras resultantes. Se concluye que, cuanto mayor sea la densidad del textil, menor es la conductividad final de la impresión, y que el algodón es el material menos recomendable para la impresión electrónica mediante la técnica de la flexografía. Finalmente, se trabaja en el objetivo de desarrollar un sistema de medición de temperatura continuo mediante impresión electrónica sobre sustratos flexibles y elásticos mediante serigrafía para su traslación a flexografía. Se consigue desarrollar con éxito un sistema robusto, de bajo consumo y confortable para los pacientes que permite la adquisición de los datos de temperatura de forma continua. / [CAT] La integració d'electrònica en els teixits per a obtenir noves funcionalitats és una de les apostes de futur de la indústria tèxtil i de la moda. A l'estar compostos parcialment per teixit, els tèxtils electrònics proporcionen als usuaris un major confort, durabilitat i lleugeresa que altres dispositius, mentre mantenen les mateixes propietats electròniques. No obstant això, aconseguir aquestes noves funcionalitats, a un cost assequible i mantenint la flexibilitat i lleugeresa pròpies dels teixits, continua sent un repte per al sector. L'àrea de l'electrònica impresa ha permès el desenvolupament d'una electrònica flexible combinant mètodes d'impressió tradicionals amb l'ús de tintes electròniques. La tècnica d'impressió flexogràfica destaca entre les altres per oferir altes velocitats de fabricació, qualitat i alta productivitat a baix cost. En l'àmbit tèxtil, no obstant això, la seua incorporació és encara molt recent i no hi ha suficients estudis per a la seua aplicació. En este context, esta tesi doctoral té com a objectiu fonamental estudiar la nova aplicació de la tècnica de la flexografia sobre materials tèxtils. Per a això, s'ha pres com a base els actuals coneixements de l'autora en l'àrea de l'electrònica impresa tèxtil emprant la tecnologia serigràfica. Amb este fi, durant el desenrotllament de la tesi es realitza, en primer lloc, l'estudi dels paràmetres necessaris per a l'aplicació de la dita tecnologia en diferents substrats. De l'estudi s'obtenen diferents valors adequats per a la impressió per mitjà de flexografia segons si el substrat es tracta d'un teixit, un no-teixit, un substrat polimèric o un paper siliconat. En segon lloc, es defineixen els protocols que permeten la integració de tintes amb característiques elèctriques en les te les emprant la tecnologia flexogràfica. D'una banda, s'estudia l'impacte dels paràmetres estructurals d'un teixit de calada en la conductivitat de la tinta impresa i, d'altra banda, la influència del material de la trama en la conductivitat d'elements conductors-resistius. Per a això, es realitza una impressió controlada sobre teixits de calada utilitzant la mateixa tinta conductora de plata i s'analitzen les propietats físiques i elèctriques de les mostres resultants. Es conclou que, quant major siga la densitat del tèxtil, menor és la conductivitat final de la impressió, i que el cotó és el material menys recomanable per a la impressió electrònica per mitjà de la tècnica de la flexografia. Finalment, es treballa en l'objectiu de desenrotllar un sistema de mesurament de temperatura continu per mitjà d'impressió electrònica sobre substrats flexibles i elàstics per mitjà de serigrafia per a la seua translació a flexografia. S'aconsegueix desenrotllar amb èxit un sistema robust, de baix consum i confortable per als pacients que permet l'adquisició de les dades de temperatura de forma contínua. / [EN] Electronics' integration into textiles to obtain new functionalities is one of the bets for the future of the textile and fashion industry. Electronic textiles provide users greater comfort, durability, and lightness than other devices as they are partially made of fabric, while maintaining the same electronic properties. However, achieving these new functionalities, maintaining the flexibility and flexibility typical of the fabrics with at affordable cost, continues to be a challenge for the sector. The area of printed electronics has allowed the development of flexible electronics by combining traditional printing methods with the use of electronic inks. The flexographic printing technique stands out among the others for offering high manufacturing speeds, quality, and high productivity at low cost. In the textile field, however, its incorporation is still very recent and there are not enough studies for its application. In this context, this doctoral thesis fundamental objective is to study the novel application of the flexography technique on textile materials. For this, the current knowledge of the author about printed textile electronics using serigraphic technology has been taken as a basis. To this end, for the development of the thesis, in the first place the study of the necessary parameters for the application of this technology in different substrates has been carried out. Different suitable values for flexographic printing have been obtained from the study regarding whether the substrate is a fabric, a non-woven, a polymeric substrate or a silicone-coated paper. Secondly, the protocols that allow the integration of electrical inks with fabrics using flexographic technology have been defined. On the one hand, the impact of the structural parameters of a woven fabric on the conductivity of the printed ink has been studied. On the other hand, also the influence of the weft material on the conductivity of conductive-resistive elements was also studied. To do this, a controlled impression has been made on woven fabrics using the same conductive silver ink. Then both physical and electrical properties of the resulting samples have been analysed. It has been concluded that the higher the density of the textile, the lower final conductivity of the print is. Also, it has been defined that cotton is the least recommended material for electronic printing when using the flexography technique. Finally, towards the objective of developing a continuous temperature measurement system by electronic printing on flexible and elastic substrates, work has been carried out using screen printing for its translation into flexography. It has been possible to successfully develop a robust, low-consumption and comfortable system for patients that allows the continuous acquisition of temperature data. / Rodes Carbonell, AM. (2022). Dispositivos electrónicos impresos sobre sustratos textiles mediante la técnica de flexografía [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/189164 / Compendio

Data from smartphones and wearable devices provide rich longitudinal information on participants and allow for causal inference for daily exposures and outcomes. However, informative missingness, latent variables, unmeasured confounding, and uneven data collection rates are common in mobile health studies and may introduce bias. In addition, there are likely violations of stationarity, a key assumption for traditional longitudinal methods. To overcome these challenges, we first propose an expectation maximization algorithm to adapt the conventional test for unit root non-stationarity to a context with missing data, and develop a sensitivity analysis for data missing not at random. Using our method, we identify a patient with bipolar spectrum disorder who has a unit root in their daily negative mood score data. We hypothesize the non-stationarity may result from the underlying latent disease states such as mania or depression, and thus we additionally develop a model to identify and control for latent modification and confounding. Specifically, we propose a hidden Markov model for individual causal inference which handles missing data in the outcome through marginalization and multiple imputation. We compare the performance of our proposed model with a frequentist and a Bayesian implementation to a naive approach in a simulation and application to a multi-year smartphone study of bipolar patients. We employ the approach to evaluate the individual effect of digital social activity on sleep duration across different latent disease states. Lastly, we employ functional data analysis methods to summarize overnight wrist actigraph data, to evaluate the role of sleep as a mediator between stress and positive mood. We demonstrate that functional principal component analysis identifies key information about sleep that is otherwise lost using a scalar representation of sleep duration.

<p dir="ltr">Construction workers often suffer from excessive stress from working in dynamic and complex hazard-rich environments. These workers are subject to experiencing diverse external stressors, which can increase their involvement in risk-taking behaviors by increasing human error, referring to individuals’ misperceptions and misjudgment. Task, social, and environmental stressors are the most common external stressors that can negatively impact workers’ safety performance. Task stressors mainly occur when the projects fall behind schedule which puts workers under productivity and mental demand. In addition, workers are exposed to social stressors due to the inherently social environment of construction job sites requiring collaborative efforts. Such workers also suffer from environmental stressors as they mainly need to perform construction tasks outdoors in extreme environments. There is a paucity of research to empirically examine how such external stressors may affect workers’ situational awareness and risk-taking behaviors. Therefore, the overall goal of this dissertation is to <i>examine the theoretical foundations and empirical evidence of changes in workers’ decision dynamic in the construction industry when exposed to task (e.g., productivity pressure and mental demand), social (e.g., peer pressure), and environmental (e.g., heat stress) stressors.</i></p><p dir="ltr">To accomplish this, a series of studies were conducted to investigate the effects of task, social, and environmental stressors on workers’ situational awareness and hazard identification skills. To do so, taking advantage of novel technologies, this study developed immersive mixed reality (MR) and augmented virtuality (AV) simulating high-risk construction tasks. Such environments were integrated with several wearable sensing technologies to measure individuals’ cognitive responses and decision dynamics while completing the tasks under different stressors. The findings demonstrated that external stressors reduce worker situational awareness, impair their cognitive processes, and negatively affect their safety performance.</p><p dir="ltr">Such findings were then utilized to develop an intelligent and comprehensive AI-based predictive system to identify at-risk workers imposed to external stressors. This system translates physiological, cognitive, and biomechanical metrics into AI-identified predictors of three types of external stressors; localizes workers, and assesses risks of being injured in real-time which will then dictate the urgency of providing any intervention. These analyses are then used to identify and propose tailored safety interventions.</p><p dir="ltr">This dissertation contributes to the existing body of knowledge by adopting innovative approaches to empirically study the extent to which external stressors may affect workers’ decision dynamics by examining the changes in their situational awareness, risk-taking, and safety performance measures. In addition, this work contributes to practice by raising awareness about the adverse effects of several cognitive biases due to such stressors, such as risk compensation, cognitive tunneling, and impaired attentional distribution, which can undermine the efficacy of safety interventions in the construction industry. It highlights the critical role of these cognitive biases in safety practices and the necessity of educating safety professionals and workers about how psychological factors can impact safety on the job site and potential ways to mitigate these potential negative impacts. Further, the developed AI-based predictive system breaks new ground by identifying at-risk workers, assessing potential risks, and recommending safety interventions.</p>

This work aims to introduce a methodology for the virtual assessment of inertial measurement unit (IMU)-based Body-Attached Sensor Networks (BASNs) for gesture recognition. This design framework consists of three main parts: (i) multibody modelling of the human upper body, (ii) simulation of human gestures along with data acquisition from modelled IMUs, and (iii) determination of the optimal number of sensors to include in the network along with their placements on the body. By using simulation, the boundary conditions of BASNs can be assessed in a short time without the need for costly and time-consuming user studies.

[pt] Flexibilidade e liberdade são sempre desejados em ambientes de realidade virtual. Dispositivos de entrada tradicionais, como mouse ou teclado, dificultam as interações entre o usuário e o ambiente virtual. Para melhorar a interação em termos qualitativos em um ambiente virtual, a interação deve ser tão natural quanto possível, por isso, gestos com a mão se tornaram um meio popular para a interação humanocomputador. O desenvolvimento de dispositivos de imersão como os capacetes trouxeram a necessidade de uma nova forma de interação e um desafio para os desenvolvedores. O reconhecimento de gestos da mão usando sinais eletromiográficos (EMG) tem chamado a atenção devido ao surgimento de dispositivos mais baratos que conseguem gravar dados EMG precisos. Um dos dispositivos mais destacados nessa área é o bracelete Myo, equipado com oito sensores EMG e uma unidade de medição inercial (IMU). O objetivo deste trabalho é avaliar a usabilidade do bracelete Myo como um dispositivo de seleção e manipulação de objetos 3D em ambientes de realidade virtual, visando melhorar a experiência do usuário, aproveitando a possibilidade de medir a força aplicada a um gesto assim como de usar as vibrações do Myo como sistema de feedback. Este estudo pretende responder à seguinte pergunta: O bracelete Myo tem alto grau de usabilidade para a seleção/manipulação de objetos 3D em Ambientes de Realidade Virtual? Para atingir esse objetivo, foram propostas quatro subquestões para orientar essa pesquisa: I) Quais recursos do Myo podem ser usadas em Ambientes de Realidade Virtual (VRE)? II) Quais são as limitações do bracelete Myo? III) É possível realizar tarefas de seleção e manipulação usando o bracelete Myo? IV) Como o uso do bracelete Myo pode enriquecer as tarefas de seleção e manipulação? Para responder às duas primeiras subquestões foi realizada uma revisão da literatura que compreende a tecnologia do Myo, vantagens e limitações, e os trabalhos relacionados. Além disso, inclui conceitos básicos sobre Interações em VRE. Para responder às duas últimas subquestões foram propostas duas técnicas de seleção/manipulação usando o Myo e foram testadas com os usuários e os resultados foram comparados, avaliando sua usabilidade. / [en] Flexibility and freedom are always desired in virtual reality environments. Traditional inputs, like mouse or keyboard, hamper the interactions between the user and the virtual environment. To improve the interaction in qualitative terms in a virtual environment, the interaction must be as natural as possible, and because of that, hand gestures have become a popular means to the human-computer interaction. The development of immersion devices like head-mounted displays brought the need for a new way of interaction and a challenge to developers. Hand gestures recognition using electromyography signals (EMG) has increased the attention because the rise of cheaper wearable devices that can record accurate EMG data. One of the outstanding devices in this area is Myo armband, equipped with eight EMG sensors and a nineaxis inertial measurement unit (IMU). The objective of this work is to evaluate the usability of the Myo armband as a device for selection and manipulation of 3D objects in virtual reality environments, aiming to improve the user experience, taking advantage of the possibility to measure the force applied to a gesture and to use Myo vibrations as a feedback system. This study aims to answer the following question: Has Myo armband high grade of usability for selection/manipulation of 3D objects in Virtual Reality Environments? And to achieve that purpose, four sub-questions were proposed to guide this research: I) Which resources of Myo can be used in Virtual Reality Environments (VRE)? II) What are the limitations of the Myo armband? III) Can selection and manipulation tasks be performed using Myo armband? IV) How can Myo armband enrich the selection and manipulation tasks? To answer to the first two sub-questions, we conducted a literature review that covers Myo technology, its advantages and limitations, and related works. Also, it includes basic concepts about Interactions in VRE. To answer to the last two sub-questions, we proposed two selection/manipulation techniques using Myo, which were tested with users and the results were compared, evaluating their usability.

The main objective of this work is to analyze current trends in contactless payments and consequently implement it on the Czech market. On this base this thesis deals with several wearable devices. Furthermore on this base is also working in the application part, where is one of the secondary objectives of the work to determine consumer preferences on the market of the Czech Republic. One of the secondary objectives is create a brief summary of the history of payment cards and within the sociological aspect to find a certain analogy in introducing innovations in the field of payments towards current trends in contactless methods. Within the secondary objectives there are simultaneously defined key assumptions forms of payment for success on the market. The following section focuses on electronic payments. Specifically, it deals with trends in electronic payment services, where for its implementation aren´t required the physical presence of the card or chip. Furthermore there are analyzed alternative paths in the current payment methods, namely peer-to-peer platforms. On these platforms is based shared economy, which also represents an interesting potential for the possible development of payment field. Chapter with alternative methods for cashless is finished by analyzing digital currencies. The hypothesis of this thesis is whether Apple can have an impact on the area of contactless payments and how it can affect the entire sector. Part of the hypothesis is the claim that Apple manages to change the area of contactless payments, such as happenede in the music industry with iTunes and then in the telecommunications industry with a revolutionary iPhone. Potential benefit of Apple is defined by the method of description. Potential contribution of Apple Pay is characterized by logical deduction base on previous relationships. Conclusion is by quantitative research method, namely through the consumer research, assessed consumer preferences in the Czech Repulic and is also evaluated the hypothesis of potential benefits of Apple contactless payments.

Industrie 4.0 und aktuelle Entwicklungen in dem Bereich der produzierenden Unternehmen erfordern hohe Anpassungsleistungen von Menschen und von Maschinen gleichermaßen. In Smart Factories werden Produktionsmitarbeiter zu Wissensarbeitern. Dazu bedarf es neben neuen, intelligenten, technischen Lösungen auch neuer Ansätze für Arbeitsorganisation, Trainings- und Qualifizierungskonzepte, die mit adaptierbaren technischen Systemen flexibel zusammenarbeiten. Das durch die EU geförderte Projekt Factory2Fit entwickelt Lösungen für die Mensch-Technik-Interaktion in automatisierten Produktionssystemen, welche eine hohe Anpassungsfähigkeit an die Fähigkeiten, Kompetenzen und Präferenzen der individuellen Mitarbeiter bieten und damit gleichzeitig den Herausforderungen einer höchst kundenindividuellen Produktion gewachsen sind. Im vorliegenden Beitrag werden die grundlegenden Ziele und Ideen des Projektes vorgestellt sowie die Ansätze des Quantified-self im Arbeitskontext, die adaptive Automatisierung inklusive der verschiedenen Level der Automation sowie die spezifische Anwendung des partizipatorischen Designs näher beleuchtet. In den nächsten Arbeitsschritten innerhalb des Projektes gilt es nun, diese Konzepte um- und einzusetzen sowie zu validieren. Die interdisziplinäre Arbeitsweise sowie der enge Kontakt zwischen Wissenschafts-, Entwicklungs- und Anwendungspartnern sollten dazu beitragen, den Herausforderungen bei der Realisierung erfolgreich zu begegnen und zukunftsträchtige Smart Factory-Lösungen zu implementieren. Das Projekt Factory2Fit wird im Rahmen von Horizon 2020, dem EU Rahmenprogramm für Forschung und Innovation (H2020/2014-2020), mit dem Förderkennzeichen 723277 gefördert.

This report describes the development process of the mobile application HealthyWay. The application is developed as a Bachelor thesis project together with KTH Royal Institute of Technology. The applications' main function is to be the interface to a number of wearable medical electronic appliances such as bandages and pill boxes. The communication is done through Bluetooth Low Energy. The application was mainly written in 3 di erent languages, QML, C++ and Java. The most stressed point throughout this project was the importance of platform independence. The exibility had to be done on a scalable as well as on a modular level. With this in mind, QT was used to address the requirement of scalability. The modularity was achieved through an organized structure to the program accompanied by easy directives to introduce new devices. The purpose of the application is to increase the quality of life for the user. This intent could however not be concluded due to the lack of testing among users. In its current state, the application is not yet ready for deployment but instead acts as a framework for future prospects. / Den här rapporten beskriver utvecklingsprocessen för en mobilapplikation vid namn Healthy- Way. Applikationen är utvecklad som ett kandidatexamensarbete tillsammans med KTH. Applikationens huvudsakliga uppgift är att vara ett gränssnitt till medicinskt relaterad utrustning såsom plaster och pilleraskar. Kommunikationen mellan dessa sker via Bluetooth Low Energy. Applikationen skrevs huvudsakligen i 3 olika språk, QML, C++ och Java. Den viktigaste punkten genom projektets gång var att applikationen skulle vara oberoende av plattform. Flexibiliteten var tvungen att göras på både en skalbar och modulär nivå. Med detta i åtanke valdes QT för att behandla skalbarheten. Modulariteten uppnåddes genom en välplanerad struktur på programmet tillsammans med instruktioner på hur ny utrustning kan introduceras. Syftet med programmet är att öka livskvaliteten för användaren. Detta syfte kunde däremot inte slutföras på grund av bristande testning hos användare. I dagens läge är applikationen inte redo för att släppas kommersiellt, men tjänar som ett bra ramverk för framtida utveckling.