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Featured researches published by Daniel H. Wilson.


international conference on pervasive computing | 2005

Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors

Daniel H. Wilson; Christopher G. Atkeson

In this paper we introduce the simultaneous tracking and activity recognition (STAR) problem, which exploits the synergy between location and activity to provide the information necessary for automatic health monitoring. Automatic health monitoring can potentially help the elderly population live safely and independently in their own homes by providing key information to caregivers. Our goal is to perform accurate tracking and activity recognition for multiple people in a home environment. We use a “bottom-up” approach that primarily uses information gathered by many minimally invasive sensors commonly found in home security systems. We describe a Rao-Blackwellised particle filter for room-level tracking, rudimentary activity recognition (i.e., whether or not an occupant is moving), and data association. We evaluate our approach with experiments in a simulated environment and in a real instrumented home.


human factors in computing systems | 2003

The mad hatter's cocktail party: a social mobile audio space supporting multiple simultaneous conversations

Paul M. Aoki; Matthew Romaine; Margaret H. Szymanski; James D. Thornton; Daniel H. Wilson; Allison Woodruff

This paper presents a mobile audio space intended for use by gelled social groups. In face-to-face interactions in such social groups, conversational floors change frequently, e.g., two participants split off to form a new conversational floor, a participant moves from one conversational floor to another, etc. To date, audio spaces have provided little support for such dynamic regroupings of participants, either requiring that the participants explicitly specify with whom they wish to talk or simply presenting all participants as though they are in a single floor. By contrast, the audio space described here monitors participant behavior to identify conversational floors as they emerge. The system dynamically modifies the audio delivered to each participant to enhance the salience of the participants with whom they are currently conversing. We report a user study of the system, focusing on conversation analytic results.


human factors in computing systems | 2005

A context-aware recognition survey for data collection using ubiquitous sensors in the home

Daniel H. Wilson; Anna C. Long; Christopher G. Atkeson

Identifying what people do in the home can both inform ubiquitous computing application design decisions and provide training data to the machine learning algorithms used in their implementation. This paper describes an unsupervised technique in which contextual information gathered by ubiquitous sensors is used to help users label a multitude of anonymous activity episodes. This context-aware recognition survey is a game-like computer program in which users attempt to correctly guess which activity is happening after seeing a series of symbolic images that represent sensor values generated during the activity. We report a user study of the system, focusing on how well subjects were able to recognize their own activities, the activities of others, and counterfeits that did not correspond to any activity.


Journal of Cell Biology | 2018

Hierarchical recruitment of ribosomal proteins and assembly factors remodels nucleolar pre-60S ribosomes

Stephanie Biedka; Jelena Micic; Daniel H. Wilson; Hailey Brown; Luke Diorio-Toth; John L. Woolford

Ribosome biogenesis involves numerous preribosomal RNA (pre-rRNA) processing events to remove internal and external transcribed spacer sequences, ultimately yielding three mature rRNAs. Removal of the internal transcribed spacer 2 spacer RNA is the final step in large subunit pre-rRNA processing and begins with endonucleolytic cleavage at the C2 site of 27SB pre-rRNA. C2 cleavage requires the hierarchical recruitment of 11 ribosomal proteins and 14 ribosome assembly factors. However, the function of these proteins in C2 cleavage remained unclear. In this study, we have performed a detailed analysis of the effects of depleting proteins required for C2 cleavage and interpreted these results using cryo–electron microscopy structures of assembling 60S subunits. This work revealed that these proteins are required for remodeling of several neighborhoods, including two major functional centers of the 60S subunit, suggesting that these remodeling events form a checkpoint leading to C2 cleavage. Interestingly, when C2 cleavage is directly blocked by depleting or inactivating the C2 endonuclease, assembly progresses through all other subsequent steps.


Communications of The ACM | 2014

Future Tense: Garden of Life

Daniel H. Wilson

From the intersection of computational science and technological speculation, with boundaries limited only by our ability to imagine what could be. When machines are in the natural world, what in the world is still unnatural?


Communications of The ACM | 2012

Future Tense: The near cloud

Daniel H. Wilson

Future Tense, one of the revolving features on this page, presents stories and essays from the intersection of computational science and technological speculation, their boundaries limited only by our ability to imagine what will and could be.Wish I never pulled the plug…


Archive | 2004

System and method for providing communication channels that each comprise at least one property dynamically changeable during social interactions

Allison Woodruff; Paul M. Aoki; Margaret H. Szymanski; James D. Thornton; Daniel H. Wilson; Chen Yu


Archive | 2005

Assistive intelligent environments for automatic health monitoring

Christopher G. Atkeson; Daniel H. Wilson


conference of the international speech communication association | 2001

Is This Conversation on Track

Paul Carpenter; Chun Jin; Daniel H. Wilson; Rong Zhang; Dan Bohus; Alexander I. Rudnicky


international joint conference on artificial intelligence | 2005

Maximum a posteriori path estimation with input trace perturbation: algorithms and application to credible rating of human routines

Daniel H. Wilson; Matthai Philipose

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Allison Woodruff

Association for Computing Machinery

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Paul M. Aoki

University of California

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Anna C. Long

University of Washington

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Chun Jin

Carnegie Mellon University

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