Establishing a Home Sensing Platform in the Field of Technological Healthcare

This thesis explores how home sensor platforms can be leveraged in the context of care for chronic conditions. In order to understand the needs of such a system, a platform has been developed and deployed at the Georgia Tech Aware Home to collect data in a research setting for the Emory and Georgia Tech joint Cognitive Empowerment Program. The goal of this program is to develop a personalized approach to the treatment of Mild Cognitive Impairments. This thesis will explore the design of the supporting home technology platform.Undergraduat

Presenting the networked home: a content analysis of promotion material of Ambient Intelligence applications

Ambient Intelligence (AmI) for the home uses information and communication technologies to make users’ everyday life more comfortable. AmI is still in its developmental phase and is headed towards the first stages of diffusion. \ud Characteristics of AmI design can be observed, among others, in the promotion material of initial producers. A literature study revealed that AmI originally envisioned a central role for the user, convenience that AmI offers them and that attention should be paid to critical policy issues such as privacy and a potential loss of freedom. A content analysis of current promotion material of several high-tech companies revealed that these original ideas are not all reflected in the material. Attributes which were used most in the promotion material were ‘connectedness’, ‘control’, ‘easiness’ and ‘personalization’. An analysis of the pictures in the promotion material showed that almost half of the pictures contained no humans but appliances. These results only partly correspond to the original vision on AmI, since the emphasis is now on technology. The results represent a serious problem, since both users, as well as critical policy issues are underexposed in the current promotion material

Wearable and mobile devices

Information and Communication Technologies, known as ICT, have undergone dramatic changes in the last 25 years. The 1980s was the decade of the Personal Computer (PC), which brought computing into the home and, in an educational setting, into the classroom. The 1990s gave us the World Wide Web (the Web), building on the infrastructure of the Internet, which has revolutionized the availability and delivery of information. In the midst of this information revolution, we are now confronted with a third wave of novel technologies (i.e., mobile and wearable computing), where computing devices already are becoming small enough so that we can carry them around at all times, and, in addition, they have the ability to interact with devices embedded in the environment. The development of wearable technology is perhaps a logical product of the convergence between the miniaturization of microchips (nanotechnology) and an increasing interest in pervasive computing, where mobility is the main objective. The miniaturization of computers is largely due to the decreasing size of semiconductors and switches; molecular manufacturing will allow for “not only molecular-scale switches but also nanoscale motors, pumps, pipes, machinery that could mimic skin” (Page, 2003, p. 2). This shift in the size of computers has obvious implications for the human-computer interaction introducing the next generation of interfaces. Neil Gershenfeld, the director of the Media Lab’s Physics and Media Group, argues, “The world is becoming the interface. Computers as distinguishable devices will disappear as the objects themselves become the means we use to interact with both the physical and the virtual worlds” (Page, 2003, p. 3). Ultimately, this will lead to a move away from desktop user interfaces and toward mobile interfaces and pervasive computing

The Connection Strategy: Preparing Young People to Succeed in College and Beyond

Describes the P-16 approach of linking education strategies from preschool through college graduation to better prepare low-income minority students. Discusses academic content, state policy strategies, and P-16 network efforts in Atlanta

Hierarchical Attention Network for Action Segmentation

The temporal segmentation of events is an essential task and a precursor for the automatic recognition of human actions in the video. Several attempts have been made to capture frame-level salient aspects through attention but they lack the capacity to effectively map the temporal relationships in between the frames as they only capture a limited span of temporal dependencies. To this end we propose a complete end-to-end supervised learning approach that can better learn relationships between actions over time, thus improving the overall segmentation performance. The proposed hierarchical recurrent attention framework analyses the input video at multiple temporal scales, to form embeddings at frame level and segment level, and perform fine-grained action segmentation. This generates a simple, lightweight, yet extremely effective architecture for segmenting continuous video streams and has multiple application domains. We evaluate our system on multiple challenging public benchmark datasets, including MERL Shopping, 50 salads, and Georgia Tech Egocentric datasets, and achieves state-of-the-art performance. The evaluated datasets encompass numerous video capture settings which are inclusive of static overhead camera views and dynamic, ego-centric head-mounted camera views, demonstrating the direct applicability of the proposed framework in a variety of settings.Comment: Published in Pattern Recognition Letter

Using data science as a community advocacy tool to promote equity in urban renewal programs: An analysis of Atlanta's Anti-Displacement Tax Fund

Cities across the United States are undergoing great transformation and urban growth. Data and data analysis has become an essential element of urban planning as cities use data to plan land use and development. One great challenge is to use the tools of data science to promote equity along with growth. The city of Atlanta is an example site of large-scale urban renewal that aims to engage in development without displacement. On the Westside of downtown Atlanta, the construction of the new Mercedes-Benz Stadium and the conversion of an underutilized rail-line into a multi-use trail may result in increased property values. In response to community residents' concerns and a commitment to development without displacement, the city and philanthropic partners announced an Anti-Displacement Tax Fund to subsidize future property tax increases of owner occupants for the next twenty years. To achieve greater transparency, accountability, and impact, residents expressed a desire for a tool that would help them determine eligibility and quantify this commitment. In support of this goal, we use machine learning techniques to analyze historical tax assessment and predict future tax assessments. We then apply eligibility estimates to our predictions to estimate the total cost for the first seven years of the program. These forecasts are also incorporated into an interactive tool for community residents to determine their eligibility for the fund and the expected increase in their home value over the next seven years.Comment: Presented at the Data For Good Exchange 201

Can user recommendations be useful for improving MOOCs accessibility? A project for inclusive design and profitable feedback

At present there are no applications which include accessibility revisions for Massive Open Online Courses (MOOCs), neither in the context of MOOCs provider institutions nor from the point of view of any Open Educational Resource (OER) initiative. In this paper an approximation to this problem is presented, in the form of a specific web portal which will offer the possibility for any user to freely judge the accessibility of a certain course and advice about the missing means of meeting user needs or required adaptations. This kind of user feedback can be of great value for the future development of MOOC platforms, courses and the educational resources. The development of this web tool will gather valuable information directly from the users themselves to improve the educational quality and accessibility of these learning environments

Tech for Understanding: An Introduction to Assistive and Instructional Technology in the Classroom

This paper examines the different types of assistive and instructional technology available to students who are classified with one or more of the thirteen disabilities outlined in the Individuals with Disabilities Education Act (referred to as, IDEA). While the roles of assistive and instructional technology are different, there are many instances where their uses may overlap. Thus, while these two categories will be discussed separately, it should be noted that some information may be applied to each category and more than one piece of technology. The purpose of this paper is to provide an introduction to the world of assistive and instructional technology for those who may be new to its concepts, particularly parents who have recently learned that their child may benefit from extra assistance and future educators who are interested in learning more about the devices they will be using to reach their students. Each of the thirteen disabilities will be discussed briefly, and then each disability will be assigned several types of assistive and instructional technology that serve it well. This will by no means be an exhaustive list of all types of technology available to teachers, parents, and students. However, it will attempt to provide a varied glimpse at some of the options that are available and how they may help children who are struggling to access the curriculum