• Decoding Children’s Social Behavior 

      Rehg, James M.; Abowd, Gregory D.; Rozga, Agata; Romero, Mario; Clements, Mark A.; Sclaroff, Stan; Essa, Irfan; Ousley, Opal Y.; Li, Yin; Kim, Chanho; Rao, Hrishikesh; Kim, Jonathan C.; Presti, Liliana Lo; Zhang, Jianming; Lantsman, Denis; Bidwell, Jonathan; Ye, Zhefan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-06)
      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 ...
    • Feasibility of Identifying Eating Moments from First-Person Images Leveraging Human Computation 

      Thomaz, Edison; Parnami, Aman; Essa, Irfan; Abowd, Gregory D. (Georgia Institute of TechnologyAssociation for Computing Machinery, 2013-11)
      There is widespread agreement in the medical research community that more effective mechanisms for dietary assessment and food journaling are needed to fight back against obesity and other nutrition-related diseases. ...
    • Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study 

      Thomaz, Edison; Zhang, Cheng; Essa, Irfan; Abowd, Gregory D. (Georgia Institute of TechnologyAssociation for Computing Machinery, 2015)
      Dietary 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 ...
    • Leveraging Context to Support Automated Food Recognition in Restaurants 

      Bettadapura, Vinay; Thomaz, Edison; Parnam, Aman; Abowd, Gregory D.; Essa, Irfan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-01)
      The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures re- flecting what people eat. In this paper, we study how tak- ing pictures of what we eat in restaurants ...
    • A Practical Approach for Recognizing Eating Moments With Wrist-Mounted Inertial Sensing 

      Thomaz, Edison; Essa, Irfan; Abowd, Gregory D. (Georgia Institute of TechnologyAssociation for Computing Machinery, 2015)
      Recognizing 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, ...
    • Predicting Daily Activities From Egocentric Images Using Deep Learning 

      Castro, Daniel; Hickson, Steven; Bettadapura, Vinay; Thomaz, Edison; Abowd, Gregory D.; Christensen, Henrik; Essa, Irfan (Georgia Institute of TechnologyAssociation for Computing Machinery, 2015)
      We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of week, to learn and predict everyday activities of an individual. We ...
    • Recognizing Water-Based Activities in the Home Through Infrastructure-Mediated Sensing 

      Thomaz, Edison; Bettadapura, Vinay; Reyes, Gabriel; Sandesh, Megha; Schindler, Grant; Plötz, Thomas; Abowd, Gregory D.; Essa, Irfan (Georgia Institute of TechnologyAssociation for Computing Machinery, 2012-09)
      Activity recognition in the home has been long recognized as the foundation for many desirable applications in fields such as home automation, sustainability, and healthcare. However, building a practical home activity ...