Video Imagery Test and Training Database
for Smart Home-based Health Research
for Behavioral Monitoring and Alteration
for Diabetic and Obese Individuals

Overview

This is a prototype video image database of subjects chewing, talking, yawning, and making faces as part of the smart home-based health platform research project. The database has been employed in the training and testing of our image-based chewing behavior detection algorithm. The image data and specification are available for download for other researchers working on this area.

Resources

• Data Set 1:
  A technical report that describes video data sets that are used in the chewing recognition research is available at: Chao Chen, "A Multi Context Chewing Data Set," Technical Report MPCL-08-10, June 2008.
  The video data sets (chewing_datasetV1.zip, 221.9 MB) are available for download. Click here.
• Data Set 2:
  A technical report that that describes a larger and enhanced set of video data used in the chewing recognition research is available at: Andres Mendez-Vasquez, Mark Schmalz, Abdelsalam (Sumi) Helal, "An Enhanced, Multi Context Chewing Large Data Set," Technical Report MPCL-09-03, June 2009.
  The video data sets are available for download. Click here.