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 in ACM IUI15: “Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study”

April 1st, 2015 Irfan Essa Posted in ACM ICMI/IUI, Activity Recognition, Audio Analysis, Behavioral Imaging, Edison Thomaz, Gregory Abowd, Health Systems, Machine Learning, Multimedia No Comments »

Paper

  • E. Thomaz, C. Zhang, I. Essa, and G. D. Abowd (2015), “Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study,” in Proceedings of ACM Conference on Intelligence User Interfaces (IUI), 2015. (Best Short Paper Award) [PDF] [BIBTEX]
    @InProceedings{    2015-Thomaz-IMEARWSFASFS,
      author  = {Edison Thomaz and Cheng Zhang and Irfan Essa and
          Gregory D. Abowd},
      awards  = {(Best Short Paper Award)},
      booktitle  = {Proceedings of ACM Conference on Intelligence User
          Interfaces (IUI)},
      month    = {May},
      pdf    = {http://www.cc.gatech.edu/~irfan/p/2015-Thomaz-IMEARWSFASFS.pdf}
          ,
      title    = {Inferring Meal Eating Activities in Real World
          Settings from Ambient Sounds: A Feasibility Study},
      year    = {2015}
    }

Abstract

2015-04-IUI-AwardDietary self-monitoring has been shown to be an effective method for weight-loss, but it remains an onerous task despite recent advances in food journaling systems. Semi-automated food journaling can reduce the effort of logging, but often requires that eating activities be detected automatically. In this work we describe results from a feasibility study conducted in-the-wild where eating activities were inferred from ambient sounds captured with a wrist-mounted device; twenty participants wore the device during one day for an average of 5 hours while performing normal everyday activities. Our system was able to identify meal eating with an F-score of 79.8% in a person-dependent evaluation, and with 86.6% accuracy in a person-independent evaluation. Our approach is intended to be practical, leveraging off-the-shelf devices with audio sensing capabilities in contrast to systems for automated dietary assessment based on specialized sensors.

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Paper in IEEE WACV (2015): “Leveraging Context to Support Automated Food Recognition in Restaurants”

January 6th, 2015 Irfan Essa Posted in Activity Recognition, Computer Vision, Edison Thomaz, First Person Computing, Gregory Abowd, Mobile Computing, PAMI/ICCV/CVPR/ECCV, Papers, Ubiquitous Computing, Uncategorized, Vinay Bettadapura No Comments »

Paper

  • V. Bettadapura, E. Thomaz, A. Parnami, G. Abowd, and I. Essa (2015), “Leveraging Context to Support Automated Food Recognition in Restaurants,” in Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. [PDF] [WEBSITE] [DOI] [arXiv] [BIBTEX]
    @InProceedings{    2015-Bettadapura-LCSAFRR,
      arxiv    = {http://arxiv.org/abs/1510.02078},
      author  = {Vinay Bettadapura and Edison Thomaz and Aman
          Parnami and Gregory Abowd and Irfan Essa},
      booktitle  = {Proceedings of IEEE Winter Conference on
          Applications of Computer Vision (WACV)},
      doi    = {10.1109/WACV.2015.83},
      month    = {January},
      pdf    = {http://www.cc.gatech.edu/~irfan/p/2015-Bettadapura-LCSAFRR.pdf}
          ,
      publisher  = {IEEE Computer Society},
      title    = {Leveraging Context to Support Automated Food
          Recognition in Restaurants},
      url    = {http://www.vbettadapura.com/egocentric/food/},
      year    = {2015}
    }

 

Abstract

The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat. In this paper, we study how taking pictures of what we eat in restaurants can be used for the purpose of automating food journaling. We propose to leverage the context of where the picture was taken, with additional information about the restaurant, available online, coupled with state-of-the-art computer vision techniques to recognize the food being consumed. To this end, we demonstrate image-based recognition of foods eaten in restaurants by training a classifier with images from restaurant’s online menu databases. We evaluate the performance of our system in unconstrained, real-world settings with food images taken in 10 restaurants across 5 different types of food (American, Indian, Italian, Mexican and Thai).food-poster

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Paper in ACM Ubicomp 2013 “Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras”

September 14th, 2013 Irfan Essa Posted in Activity Recognition, Computational Photography and Video, Edison Thomaz, Gregory Abowd, ISWC, Mobile Computing, Papers, UBICOMP, Ubiquitous Computing No Comments »

  • E. Thomaz, A. Parnami, J. Bidwell, I. Essa, and G. D. Abowd (2013), “Technological Approaches for Addressing Privacy Concerns when Recognizing Eating Behaviors with Wearable Cameras.,” in Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp, 2013. [PDF] [DOI] [BIBTEX]
    @InProceedings{    2013-Thomaz-TAAPCWREBWWC,
      author  = {Edison Thomaz and Aman Parnami and Jonathan Bidwell
          and Irfan Essa and Gregory D. Abowd},
      booktitle  = {{Proceedings of the ACM International Joint
          Conference on Pervasive and Ubiquitous Computing
          (UbiComp}},
      doi    = {10.1145/2493432.2493509},
      month    = {September},
      pdf    = {http://www.cc.gatech.edu/~irfan/p/2013-Thomaz-TAAPCWREBWWC.pdf}
          ,
      title    = {Technological Approaches for Addressing Privacy
          Concerns when Recognizing Eating Behaviors with
          Wearable Cameras.},
      year    = {2013}
    }

 Abstract

First-person point-of-view (FPPOV) images taken by wearable cameras can be used to better understand people’s eating habits. Human computation is a way to provide effective analysis of FPPOV images in cases where algorithmic approaches currently fail. However, privacy is a serious concern. We provide a framework, the privacy-saliency matrix, for understanding the balance between the eating information in an image and its potential privacy concerns. Using data gathered by 5 participants wearing a lanyard-mounted smartphone, we show how the framework can be used to quantitatively assess the effectiveness of four automated techniques (face detection, image cropping, location filtering and motion filtering) at reducing the privacy-infringing content of images while still maintaining evidence of eating behaviors throughout the day.

via ACM DL Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras.

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AT UBICOMP 2012 Conference, in Pittsburgh, PA, September 5 – 7, 2012

September 4th, 2012 Irfan Essa Posted in Edison Thomaz, Grant Schindler, Gregory Abowd, Papers, Presentations, Thomas Ploetz, UBICOMP, Ubiquitous Computing, Vinay Bettadapura No Comments »

At ACM sponsored, 14th International Conference on Ubiquitous Computing (Ubicomp 2012), Pittsburgh, PA, September 5 – 7, 2012.

Here are the highlights of my group’s participation in Ubicomp 2012.

  • E. Thomaz, V. Bettadapura, G. Reyes, M. Sandesh, G. Schindler, T. Ploetz, G. D. Abowd, and I. Essa (2012), “Recognizing Water-Based Activities in the Home Through Infrastructure-Mediated Sensing,” in Proceedings of ACM International Conference on Ubiquitous Computing (UBICOMP), 2012. [PDF] [WEBSITE] (Oral Presentation at 2pm on Wednesday September 5, 2012).
  • J. Wang, G. Schindler, and I. Essa (2012), “Orientation Aware Scene Understanding for Mobile Camera,” in Proceedings of ACM International Conference on Ubiquitous Computing (UBICOMP), 2012. [PDF][WEBSITE] (Oral Presentation at 2pm on Thursday September 6, 2012).

In addition, my colleague, Gregory Abowd has a position paper on “What next, Ubicomp? Celebrating an intellectual disappearing act” on Wednesday 11:15am session and my other colleague/collaborator Thomas Ploetz has a paper on “Automatic Assessment of Problem Behavior in Individuals with Developmental Disabilities” with his co-authors Nils Hammerla, Agata Rozga, Andrea Reavis, Nathan Call, Gregory Abowd on Friday September 6, in the 9:15am session.

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