Matei Negulescu

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Smartphones are frequently used in environments where the user is distracted by another task, for example by walking or by driving. While the typical interface for smartphones involves hardware and software buttons and surface gestures, researchers have recently posited that, for distracted environments, benefits may exist in using motion gestures to(More)
Designers of motion gestures for mobile devices face the difficult challenge of building a recognizer that can separate gestural input from motion noise. A threshold value is often used to classify motion and effectively balances the rates of false positives and false negatives. We present a bi-level threshold recognition technique designed to lower the(More)
Figure 1: The inferred mode protocol. Panel a. shows smart circle select. When an object is circled, a mediator appears (top), but no mediator appears if the circle encloses nothing. Panel b. shows smart select click. Panel c. shows smart delete (top) and shading (bottom). Panel d. shows translation (top) vs smart drawing (bottom). ABSTRACT The inferred(More)
The form factor of mobile devices remains small while their computing power grows at an accelerated rate. Prior work has explored expanding the output space by leveraging free displays in the environment. However, existing solutions often do not scale. In this paper we discuss Open Project, an end-to-end framework that allows a user to "project" a native(More)
We present Gesturemote, a technique for interacting with remote displays through touch gestures on a handheld touch surface. By combining a variety of different touch gestures and connecting them smoothly, Gesturemote supports a wide range of interaction behaviors, from low pixel-level interaction such as pointing and clicking, to medium-level interaction(More)
In this work, we explore the design of multi-resolution input on multi-touch devices. We devised a refined zooming technique named Offset, where the target is set at a location offset from the non-dominant hand while the dominant hand controls the direction and magnitude of the expansion. Additionally, we explored the use of non-persistent transformations(More)
In order to reach targets with one hand on common large mobile touch displays, users tilt and shift the device in their hand. In this work, we use this grip change as a continuous information stream for detecting where the user will touch while their finger is still en-route. We refer to this as in the air prediction. We show that grip change detected using(More)
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