1,721,073 research outputs found

    A methodology and software platform for building wearable communities

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    In recent years, two innovative computing and communication technologies have emerged: wearable computers and wireless personal area networks. Wearable computers advance an innovative form of personal computing based on continuously worn, intelligent assistants that augment memory, intellect, communication, and physical senses. Wireless personal area networks (WPAN) are a new class of wireless networks that provide seamless ad hoc communication over short-range radio links. The convergence of these technologies creates new opportunities for technological support of social interactions and face-to-face communities. While past research has provided a partial understanding of the social potentials of wearable computers and wireless personal area networks, we know little about the software engineering aspects of such systems. This dissertation aims to remedy this situation by exploring software infrastructure and architectural support for co-present communities. In particular, the goal of this dissertation is to develop a generic wearable software platform that (1) enables spontaneous interactions in face-to-face settings, (2) aids developers in the implementation of ad hoc collaborative applications and (3) supports building of co-present communities. The contribution of this dissertation is a methodology and software platform for building wearable communities; that is, co-present communities that emerge when enough people use their wearable computers to form webs of personal relationships. Wearable communities are based upon embodied real-world human encounters augmented by wearable computers. The proposed methodology defines a conceptual framework for software support of wearable communities, and specifies a design language and development process. The software platform addresses the information needs of applications and provides developers with high-level programming abstractions. To address the utility and practicality of the methodology and software platform, the design and implementation of a number of wearable community applications are presented and experiences of using the methodology in software engineering education are reported

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    Informing the Design of Situated Glyphs for a Care Facility

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    Informing caregivers by providing them with contextual medical information can significantly improve the quality of patient care activities. However, information flow in hospitals is still tied to traditional manual or digitised lengthy patient record files that are often not accessible while caregivers are attending to patients. Leveraging the proliferation of pervasive awareness technologies (sensors, actuators and mobile displays), recent studies have explored this information presentation aspect borrowing theories from context-aware computing, i.e., presenting subtle information contextually to support the activity at hand. However, the understanding of the information space (i.e., what information should be presented) is still fairly abstruse, which inhibits the deployment of such real-time activity support systems. To this end, this paper first presents situated glyphs, a graphical entity to encode situation specific information, and then presents our findings from an in-situ qualitative study addressing the information space tailored to such glyphs. Applying technology probes using situated glyphs and di erent glyph display form factors, the study aimed at uncovering the information space pertained to both primary and secondary medical care. Our analysis has resulted in a large set of information types as well as given us deeper insight on the principles for designing future situated glyphs. We report our findings in this paper that we expect would provide a solid foundation for designing future assistive systems to support patient care activities

    Exploring the Design of Pay-Per-Use Objects in the Construction Domain

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    Equipment used in the construction domain is often hired in order to reduce cost and maintenance overhead. The cost of hire is dependent on the time period involved and does not take into account the actual use equipment has received. This paper presents our initial investigation into how physical objects augmented with sensing and communication technologies can measure use in order to enable new pay-per-use payment models for equipment hire. We also explore user interaction with pay-per-use objects via mobile devices. The user interactions that take place within our prototype scenario range from simple information access to transactions involving multiple users. This paper presents the design, implementation and evaluation of a prototype pay-per-use system motivated by a real world equipment hire scenario. We also provide insights into the various challenges introduced by supporting a pay-per-use model, including data storage and data security in addition to user interaction issues

    A lighting infrastructure for data visualisation: on the 3D printed bridge by MX3D

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    Development of a lighting infrastructure for the sensor-instrumented 3D-printed MX3D bridge to visualise the dynamically generated data, resulting in an animation and lighting technologies enabling this animation to be displayed on the sides and top of the bridge.Integrated Product Desig

    IPS as a tool for designing to improve the care for people with dementia: designing a new system for nursing home

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    This project aims to improving the care service for people with dementia who exhibits BPSD (Behavioral and Psychological Symptoms of Dementia) by providing the relevant stakeholders data insights, and meanwhile improving these people’s working efficiency

    Occupancy Estimation Using Sparse Sensor Coverage

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    Estimation of occupant count in commercial and institutional buildings enables energy experts to make better decisions on which buildings to prioritize for green upgrading and retrofitting from a large building portfolio. A cheap easy-to-install solution will enable energy experts to obtain occupancy estimation by easily scaling to large building portfolios. This paper presents a method for estimating occupancy based on sparse coverage of low-cost IoT sensors. The method is tested on 2 datasets, one academic building in Denmark (DK) and one academic building in Canada (CAN). The datasets contain PIR, CO2 measurements, and electric energy data together with ground truth occupancy counts. We show that 20% sensor coverage is comparable to full sensor coverage (60%) with an NRMSE of 0.142 (DK) and 0.174 (CAN) for 20% sensor coverage and an NRMSE of 0.129 (DK) and 0.163 (CAN) for full sensor coverage. Results show that with less sensor coverage, sensor placement becomes more important and that even with 20% it is possible to get as good of an accuracy as full coverage. The occupant count is used for key performance indicators of the buildings’ energy usage which shows higher energy use per occupant at low occupancy
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