[pt] Este trabalho introduz o termo de Beauty Technology como um campo emergente na computação vestível. A Computação Vestível tem mudado a maneira de como as pessoas interagem com computadores, entrelaçando dispositivos computacionais com as capacidades naturais do corpo humano. A Beauty Technology transforma o corpo numa plataforma de interação, escondendo a tecnologia em produtos de beleza para a criação de interfaces baseadas em movimentos musculares sem dar ao usuário um visual de ciborgue. Para mostrar a viabilidade desta tecnologia, várias aplicações de Beauty Technology foram desenvolvidas em produtos de uso diário e mostradas em exposições. Conductive Makeup, Beauty Tech Nails, FX e-makeup e Hairware exemplificam os protótipos de Beauty Technology. / [en] This work introduces the term Beauty Technology as an emergent field in Wearable Computing. Wearable Computing had changed the way individuals interact with computers, intertwining natural capabilities of the human body with processing apparatus. Beauty Technology transforms our body in an interactive platform by hiding technology into beauty products for creating muscle based interfaces that don t give the wearer a cyborg look. Several applications of beauty technologies used in everyday products and shown in exhibitions expose the feasibility of this technology. Conductive Makeup, Beauty Tech Nails, FX e-makeup and Hairware exemplify Beauty Technology prototypes.

Extenderes: vídeo-ações são ações registradas e apresentadas em vídeo, nas quais meu corpo estabelece relações com vestíveis e com balões no espaço de um quarto. Essas vídeo-ações foram desenvolvidas entre os anos de 2011 e 2013. Assim criei situações que levavam meu corpo a explorar outras formas de movimentação e percepção do espaço a minha volta. Ao longo desta dissertação são esmiuçados alguns conceitos que se referem à relação do meu corpo com o objeto no momento da ação, são eles o conceito de jogo tratado por Hans-Georg Gadamer, o conceito de secundidade desenvolvido por Charles Peirce e o conceito de tarefa introduzido na dança por Ana Halprin. Também são pensadas algumas questões presentes nessas ações do grupo Extenderes como a repetição, a vulnerabilidade do corpo e a exaustão. O processo de criação é abordado segundo a função do fantasma na psicanálise, e também, segundo a experimentação, e a ludicidade como forma de construção. / Extenderes: video-actions are actions recorded on video, in which my body establishes relationships with wearable pieces and balloons in the space of a room. This video-actions were developed between 2011 and 2013. So I created situations that led my body to explore others forms of movement and perception of the space around me. Throughout this dissertation are scrutinized some concepts that refer to the relationship of my body with the object at the time of action. They are the play concept by Hans Georg Gadamer, the concept of secondness developed by Charles Peirce and the concept of the task introduced in dance by Ana Halprin. Also are thought some questions present in those actions Extenderes group as repetition, body vulnerability and exhaustion. The creation process is discussed according to the function of the fantasy in psychoanalysis, and also according playfulness as a way of building.

O uso de tecnologias assistivas objetivando proporcionar melhor qualidade de vida a idosos está em franca ascensão. Uma das linhas de pesquisa nessa área é o uso de dispositivos para detecção de quedas de idosos, um problema cuja ocorrência é cada vez maior devido a diversos fatores, incluindo maior longevidade, maior número de pessoas vivendo sozinhas na velhice, entre outros. Este trabalho apresenta o desenvolvimento de um dispositivo vestível, um nó sensor de redes de sensores sem fio de ultra-baixo consumo. Também descreve a expansão de um sistema KNX, ao qual o dispositivo é integrado. O dispositivo é capaz de identificar quedas, auxiliando no monitoramento de idosos e, por sua vez, aumentando a segurança dos mesmos. O monitoramento é realizado através de acelerômetro e giroscópio de 3 eixos, acoplados ao peito do usuário, capaz de detectar quedas através de um algoritmo de análise de limites determinados a partir da fusão dos dados dos sensores. O sensor vestível utiliza tecnologia EnOcean, que propicia conexão sem fio com um sistema de automação de casas inteligentes, de acordo com a norma KNX, através da plataforma Home Assistant. Telegramas de alarmes são automaticamente enviados no caso de detecção de quedas, e acionam um atuador pertencente ao sistema KNX. Além de validar a tecnologia EnOcean para uso em dispositivos vestíveis, o protótipo desenvolvido não indicou nenhum falso positivo através de testes realizados com dois usuários de características corporais diferentes, onde foram reproduzidos 100 vezes cada um dos oito tipos de movimentos (quatro movimentos de quedas e quatro de não quedas). Os testes realizados com o dispositivo revelaram sensibilidade e de especificidade de até 96% e 100%, respectivamente. / The use of assistive technologies to provide quality of life for elderly is increasing. One of the research lines of this area is the use of devices for fall detection, which is an increasing problem due to many factors, including greater longevity, more elders living alone, among others. This work presents the development of a wearable device, a sensor node for ultra-low power networks. Also, describes the expansion of a KNX system, which the device is integrated. The device is able to detect falls which can aid the monitoring of the elderly people and improve security. The monitoring is done through a 3-axis accelerometer and gyroscope attached on the user’s chest. The fall detection is done by a threshold algorithm based on data fusion of the sensors. The wearable sensor is an EnOcean node, which includes a wireless connection with a smart home system, according to the KNX standard, through the Home Assistant platform. Alarm telegrams are automatically sent in case of fall detection, and fires an actuator that is part of the KNX system to alarm. In addition to validating the EnOcean’s Technology for use on wearable devices, the developed prototype didn’t indicated any false positives through tests performed with two users of different body characteristics, where each of the eight types of movements (four movements of falls and four of non-falls) were reproduced 100 times. The tests done with the device revealed sensitivity and specificity of up to 96% and 100%, respectively.

A novel, interactive Android app has been developed that monitors the health of type 2 diabetic patients in real-time, providing patients and their physicians with real-time feedback on all relevant parameters of diabetes. The app includes modules for recording carbohydrate intake and blood glucose; for reminding patients about the need to take medications on schedule; and for tracking physical activity, using movement data via Bluetooth from a pair of wearable insole devices. Two machine learning models were developed to detect seven physical activities: sitting, standing, walking, running, stair ascent, stair descent and use of elliptical trainers. The SVM and decision tree models produced an average accuracy of 85% for these seven activities. The decision tree model is implemented in an app that classifies human activity in real-time.

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / In this paper, we propose a technological solution integrated to a wearable device that allows measuring some physiological variables such as body mass index (BMI), steps walked in a determined day, burned calories, blood pressure and other risk factors associated with the Framingham´s score. The objective of this article is to identify the evolutionary pattern of the Framingham’s score each day in order to determine a presumptive diagnosis of high blood pressure. The technological solution was validated in the social insurance of a public hospital in Lima, Perú. The preliminary results obtained in a diagnostic test show a sensitivity level of 83.33%, a level of precision better than a traditional Framingham´s score for presumptive diagnosis of high blood pressure. Our proposal contributes to the patient’s awareness about the bad routine habits related to lifestyle and promotes the empowerment of data in order to make some changes that influence on the reduction of cardiovascular disease risk. / Revisión por pares

abstract: Movement disorders are becoming one of the leading causes of functional disability due to aging populations and extended life expectancy. Diagnosis, treatment, and rehabilitation currently depend on the behavior observed in a clinical environment. After the patient leaves the clinic, there is no standard approach to continuously monitor the patient and report potential problems. Furthermore, self-recording is inconvenient and unreliable. To address these challenges, wearable health monitoring is emerging as an effective way to augment clinical care for movement disorders. Wearable devices are being used in many health, fitness, and activity monitoring applications. However, their widespread adoption has been hindered by several adaptation and technical challenges. First, conventional rigid devices are uncomfortable to wear for long periods. Second, wearable devices must operate under very low-energy budgets due to their small battery capacities. Small batteries create a need for frequent recharging, which in turn leads users to stop using them. Third, the usefulness of wearable devices must be demonstrated through high impact applications such that users can get value out of them. This dissertation presents solutions to solving the challenges faced by wearable devices. First, it presents an open-source hardware/software platform for wearable health monitoring. The proposed platform uses flexible hybrid electronics to enable devices that conform to the shape of the user’s body. Second, it proposes an algorithm to enable recharge-free operation of wearable devices that harvest energy from the environment. The proposed solution maximizes the performance of the wearable device under minimum energy constraints. The results of the proposed algorithm are, on average, within 3% of the optimal solution computed offline. Third, a comprehensive framework for human activity recognition (HAR), one of the first steps towards a solution for movement disorders is presented. It starts with an online learning framework for HAR. Experiments on a low power IoT device (TI-CC2650 MCU) with twenty-two users show 95% accuracy in identifying seven activities and their transitions with less than 12.5 mW power consumption. The online learning framework is accompanied by a transfer learning approach for HAR that determines the number of neural network layers to transfer among uses to enable efficient online learning. Next, a technique to co-optimize the accuracy and active time of wearable applications by utilizing multiple design points with different energy-accuracy trade-offs is presented. The proposed technique switches between the design points at runtime to maximize a generalized objective function under tight harvested energy budget constraints. Finally, we present the first ultra-low-energy hardware accelerator that makes it practical to perform HAR on energy harvested from wearable devices. The accelerator consumes 22.4 microjoules per operation using a commercial 65 nm technology. In summary, the solutions presented in this dissertation can enable the wider adoption of wearable devices. / Dissertation/Thesis / Human activity recognition dataset / Doctoral Dissertation Computer Engineering 2020

This work explores the blending of e-textile technology with the porous electrode of polymer electrolyte membrane fuel cells (PEMFCs) and with smart wound patches to allow monitoring and in-situ diagnostics. This work includes contributions to understanding water transport and conductivity in the carbon cloth gas diffusion layer (GDL), and further developing thread-based relative humidity (RH) and temperature sensors, which can be sewn on a cloth GDL in PEMFCs. We also explore the application of the developed RH and temperature sensors in wearable biomonitoring. First, an experimental prototype is developed for evaluating water transport, thermal conductivity and electrical conductivity of carbon cloth GDLs under different hydrophobic coatings and compressions. Second, we demonstrate the addition of external threads to the carbon cloth GDL to (1) facilitate water transport and (2) measure local RH and temperature with a minimal impact on the physical, microstructural and transport properties of the GDL. We illustrate the roll-to-roll process for fabricating RH and temperature sensors by dip-coating commodity threads into a carbon nanotubes (CNTs) suspension. The thread-based sensors response to RH and temperature in the working environment of PEMFCs is investigated. As a proof-of-concept, the local temperature of carbon cloth GDL is monitored in an ex-situ experiment. Finally, we optimized the coating parameters (e.g. CNTs concentration, surfactant concentration and a number of dipping) for the thread-based sensors. The response of the thread-based sensors in room conditions is evaluated and shows a linear resistance decrease to temperature and a quadratic resistance increase to RH. We also evaluated the biocompatibility of the sensors by performing cell cytotoxicity and studying wound healing in an animal model. The novel thread-based sensors are not only applicable for textile electrochemical devices but also, show a promising future in wearable biomonitoring applications. / Graduate

The thesis focuses on the possibilities of objective stress measurement. It chooses parameters that are suitable for measurement by commonly available wearable electronics. It establishes a methodology for measuring stress using these devices, which it then verifies by conducting experiments with flight school students. It serves as proof of concept for similar measurements in further research or in flight schools.

This thesis describes the possibilities of wearable antennas and the basic properties description. Numeric model for ISM 2,4 GHz band is created by CST Microwave Studio®. The thesis also deals with the human body proximity effect by two models of human tissue. The effect of flexibility to antenna parameters is evaluated. Several samples of the antenna has been created and measured. Obtained results has been compared with numeric model and with the literature.

This master’s thesis deals with the explanation of the concept of smart wearables and the different application possibilities. This work also includes examples of finished demonstration devices in this category. Part of this work is devoted to guide the selection of appropriate components for the design of new equipment in the category of smart wearable. The result of this thesis is designed wearable and charging station. This device is able to read user input and display that information on a smart device running under Android system connected via Bluetooth technology.