38 research outputs found

    Human Emotional Care Purposed Automatic Remote Portrait Drawing Generation and Display System Using Wearable Heart Rate Sensor and Smartphone Camera with Depth Perception

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    We propose a system that automatically generates portrait drawings for the purpose of human emotional care. Our system comprises two parts: a smartphone application and a server. The smartphone application enables the user to take photographs throughout the day while acquiring heart rates from the smartwatch worn by the user. The server collects the photographs and heart rates and displays portrait drawings automatically stylized from the photograph for the most exciting moment of the day. In the system, the user can recall the exciting and happy moment of the day through admiring the drawings and heal the emotion accordingly. To stylize photographs as portrait drawings, we employ nonphotorealistic rendering (NPR) methods, including a portrait etude stylization proposed in this paper. Finally, the effectiveness of our system is demonstrated through user studies

    Design revolutions: IASDR 2019 Conference Proceedings. Volume 4: Learning, Technology, Thinking

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    In September 2019 Manchester School of Art at Manchester Metropolitan University was honoured to host the bi-annual conference of the International Association of Societies of Design Research (IASDR) under the unifying theme of DESIGN REVOLUTIONS. This was the first time the conference had been held in the UK. Through key research themes across nine conference tracks – Change, Learning, Living, Making, People, Technology, Thinking, Value and Voices – the conference opened up compelling, meaningful and radical dialogue of the role of design in addressing societal and organisational challenges. This Volume 4 includes papers from Learning, Technology and Thinking tracks of the conference

    Redesenho da interface de utilizador da aplicação móvel Us'Em

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    Mestrado em Comunicação MultimédiaThe research presented here aims to design a feasible and adequate mobile application (app) user interface. This mobile app is part of Us'em system, designed to promote self-rehabilitation after stroke. The system is based on wearable, mobile and tracking sensors-based technology. The app works as a feedback tool, communicating Us’em system users about the frequency of their upper limb moves and about their recovery process. The mobile app aims increasing patient’s motivation in using their arm-hand through the day and improving their rehabilitation through self-training at home with continuous feedback. The design of its user interface is of great relevance, because it determines if post stoke patients can use Us’em system. The empirical part begins with interviews, questionnaires and observation of post stroke patients and physical therapists from Portugal and the Netherlands. It provides a better understanding of post stroke rehabilitation process and stroke victims’ characteristics and requirements regarding rehabilitation and mobile devices interaction. The gathered information contributed to the development of a prototype that materializes the defined Us’em app. The prototyping process ran through iterative cycles of design, implementation and evaluation to ascertain the adequacy of Us’em app user interface. The final prototype is the final product of this research project and it was evaluated through usability tests with post stroke patients from both countries aforementioned. Tests to the final prototype show it may be difficult to design a unique solution for all the users due to the wide range of their requirements. However, the core requirements of Us'em mobile app is simplicity: the number of user interface elements, the amount of information and the complexity of iteractions and functionalities of this app should be the lowest as possible. The research also allows to conclude that the user interface designed meets most of user’s requirements and it has a significant impact on the motivation of post stroke patients in moving their impaired arm-hand autonomously.O trabalho de investigação aqui apresentado objetiva o desenvolvimento de uma viável e adequada interface de utilizador de uma aplicação móvel (app). Esta app é um dos componentes do sistema Us’em, desenvolvido para promover a auto reabilitação após acidentes vasculares cerebrais (AVC). O sistema é baseado em tecnologia vestível, móvel e de monitorização através de sensores. A app funciona como uma ferramenta de feedback, informando os utilizadores do sistema Us’em sobre a frequência dos movimentos dos seus membros superiores e sobre o seu processo de recuperação. A app objetiva aumentar a motivação dos pacientes em usar o seu braço ou mão debilitado ao longo do dia e, assim, promover a sua reabilitação através do treino autónomo em casa com feedback contínuo. O desenvolvimento da interface de utilizador é de grande relevância, pois determina se pacientes vítimas de AVC conseguem utilizar o sistema Us’em. O estudo empírico parte da realização de entrevistas, questionários e observação de pacientes vítimas de AVC e fisioterapeutas Portugueses e Holandeses. Este estudo permite uma melhor compreensão do processo de reabilitação e das características e requisitos de vítimas de AVC no que respeita à reabilitação e à interação com dispositivos móveis. A informação recolhida contribuiu para o desenvolvimento de um protótipo que concretizasse a app Us’em definida. O processo de prototipagem ocorreu ao longo de ciclos iterativos de desenvolvimento, implementação e teste de forma a verificar a adequação da interface de utilizador da app Us’em. O protótipo final é o produto final deste projeto de investigação e foi testado através de testes de usabilidade com pacientes vítimas de AVC de ambos os países referidos anteriormente. Os testes ao protótipo final revelam que poderá ser difícil desenvolver uma solução única para todos os utilizadores devido ao conjunto vasto dos seus requisitos. No entanto, o requisito chave da app Us’em é simplicidade: o número de elementos da interface de utilizador, a quantidade de informação e a complexidade das interações e funcionalidades da app deve ser o mais reduzido possível. Esta investigação também permite concluir que a interface de utilizador desenvolvida satisfaz a maior parte dos requisitos dos utilizadores e tem um impacto significativo na motivação de pacientes vítimas de AVC em movimentar o seu braço ou mão desabilitada de forma autónoma

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    Data and the city – accessibility and openness. a cybersalon paper on open data

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    This paper showcases examples of bottom–up open data and smart city applications and identifies lessons for future such efforts. Examples include Changify, a neighbourhood-based platform for residents, businesses, and companies; Open Sensors, which provides APIs to help businesses, startups, and individuals develop applications for the Internet of Things; and Cybersalon’s Hackney Treasures. a location-based mobile app that uses Wikipedia entries geolocated in Hackney borough to map notable local residents. Other experiments with sensors and open data by Cybersalon members include Ilze Black and Nanda Khaorapapong's The Breather, a "breathing" balloon that uses high-end, sophisticated sensors to make air quality visible; and James Moulding's AirPublic, which measures pollution levels. Based on Cybersalon's experience to date, getting data to the people is difficult, circuitous, and slow, requiring an intricate process of leadership, public relations, and perseverance. Although there are myriad tools and initiatives, there is no one solution for the actual transfer of that data
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