Paper in Ubicomp 2015: “A Practical Approach for Recognizing Eating Moments with Wrist-Mounted Inertial Sensing”

September 8th, 2015 Irfan Essa Posted in ACM UIST/CHI, Activity Recognition, Behavioral Imaging, Edison Thomaz, Gregory Abowd, Health Systems, Machine Learning, Mobile Computing, Papers, UBICOMP, Ubiquitous Computing No Comments »

Paper

  • E. Thomaz, I. Essa, and G. D. Abowd (2015), “A Practical Approach for Recognizing Eating Moments with Wrist-Mounted Inertial Sensing,” in Proceedings of ACM International Conference on Ubiquitous Computing (UBICOMP), 2015. [PDF] [BIBTEX]
    @InProceedings{    2015-Thomaz-PAREMWWIS,
      author  = {Edison Thomaz and Irfan Essa and Gregory D. Abowd},
      booktitle  = {Proceedings of ACM International Conference on
          Ubiquitous Computing (UBICOMP)},
      month    = {September},
      pdf    = {http://www.cc.gatech.edu/~irfan/p/2015-Thomaz-PAREMWWIS.pdf},
      title    = {A Practical Approach for Recognizing Eating Moments
          with Wrist-Mounted Inertial Sensing},
      year    = {2015}
    }

Abstract

Thomaz-UBICOMP15.pngRecognizing when eating activities take place is one of the key challenges in automated food intake monitoring. Despite progress over the years, most proposed approaches have been largely impractical for everyday usage, requiring multiple onbody sensors or specialized devices such as neck collars for swallow detection. In this paper, we describe the implementation and evaluation of an approach for inferring eating moments based on 3-axis accelerometry collected with a popular off-the-shelf smartwatch. Trained with data collected in a semi-controlled laboratory setting with 20 subjects, our system recognized eating moments in two free-living condition studies (7 participants, 1 day; 1 participant, 31 days), with Fscores of 76.1% (66.7% Precision, 88.8% Recall), and 71.3% (65.2% Precision, 78.6% Recall). This work represents a contribution towards the implementation of a practical, automated system for everyday food intake monitoring, with applicability in areas ranging from health research and food journaling.

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Paper (2009) ACM CHI: “Videolyzer: Quality Analysis of Online Informational Video for Bloggers and Journalists”

March 4th, 2009 Irfan Essa Posted in ACM UIST/CHI, Computational Journalism, Computational Photography and Video, Nick Diakopoulos No Comments »

N. Diakopoulos, S. Goldenberg, I. Essa (2009). “Videolyzer: Quality Analysis of Online Informational Video for Bloggers and Journalists.” ACM Conference on Human Factors in Computing Systems (CHI). April, 2009. [PDF] [Project Site] [Video(CHI 2009 – Digital Life New World – CHI 2009 Advance Program)

Abstract

Screen Shot of Videolyzer

Tools to aid people in making sense of the information quality of online informational video are essential for media consumers seeking to be well informed. Our application, Videolyzer, addresses the information quality problem in video by allowing politically motivated bloggers or journalists to analyze, collect, and share criticisms of the information quality of online political videos. Our interface innovates by providing a fine-grained and tightly coupled interaction paradigm between the timeline, the time-synced transcript, and annotations. We also incorporate automatic textual and video content analysis to suggest areas of interest for further assessment by a person. We present an evaluation of Videolyzer looking at the user experience, usefulness, and behavior around the novel features of the UI as well as report on the collaborative dynamic of the discourse generated with the tool.
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Poster: ACM UIST (2007) “NARC: The News Article Revision Comparator.”

October 26th, 2007 Irfan Essa Posted in ACM UIST/CHI, Computational Journalism, Nick Diakopoulos No Comments »

A. St. Clair, M. Fong, N. Diakopoulos, I. Essa. (2007) “NARC: The News Article Revision Comparator.” In Proceedings addendum of User Interface Software Technology (UIST). Newport, Rhode Island, October 2007 [Abstract] [Poster]

ABSTRACT

Currency of information in news consumption is an important facet of information quality which involves both the journalist providing updated information and the consumer being aware of updates and changes to the news stream. We are addressing information quality and currency in online news articles from the viewpoint of news consumption with the intent of reducing the consumption effort involved in getting the most up-to-date information on a breaking news story. The goal of this research is thus to develop a web-based user interface which (1) allows users to easily and quickly see updates to news articles online and (2) blends into existing consumption patterns by integrating into news websites. We have built NARC to address these issues by providing an integrated interface which allows users to quickly perceive changes to news
articles using an inline text visualization.

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