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We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a(More)
In the established procedural model of information visualization, the first operation is to transform raw data into data tables. The transforms typically include abstractions that aggregate and segment relevant data and are usually defined by a human, user or programmer. The theme of this paper is that for video, data transforms should be supported by low(More)
We propose an appearance based machine learning architecture that estimates and tracks in real time large range head yaw given a single non-calibrated monocular grayscale low resolution image sequence of the head. The architecture is composed of five parallel template detectors, a Radial Basis Function Network and two Kalman filters. The template detectors(More)
Most Human-Computer Interaction (HCI) researchers are accustomed to the process of formal ethics review for their evaluation or field trial protocol. Although this process varies by country, the underlying principles are universal. While this process is often a formality, for field research or lab-based studies with vulnerable users, formal ethics(More)
We present the evaluation of BrailleTouch, an accessible keyboard for blind users on touchscreen smartphones. Based on the standard Perkins Brailler, BrailleTouch implements a six-key chorded braille soft keyboard. Eleven blind participants typed for 165 twenty-minute sessions on three mobile devices: 1) BrailleTouch on a smartphone; 2) a soft braille(More)
We present a longitudinal investigation of Tableau Machine, an intelligent entity that interprets and reflects the lives of occupants in the home. We created Tableau Machine (TM) to explore the parts of home life that are unrelated to accomplishing tasks. Task support for "smart homes" has inspired many researchers in the community. We consider design for(More)
Texting is the essence of mobile communication and connectivity, as evidenced by today's teenagers, tomorrow's workforce. Fifty-four percent of American teens contact each other daily by texting, as compared to face-to-face (33%) and talking on the phone (30%) according to the Pew Research Center's Internet & American Life Project, 2010. Arguably,(More)
In-home monitoring using sensors has the potential to improve the life of elderly and chronically ill persons, assist their family and friends in supervising their status, and provide early warning signs to the person's clinicians. The Get Up and Go test is a clinical test used to assess the balance and gait of a patient. We propose a way to automatically(More)