10.15132/10000120
Stephen McKenna
0000-0003-0530-2035
University of Dundee
Sebastian Stein
0000-0003-1828-4008
University of Dundee
50 Salads
Activity recognition from RGBD-video and accelerometers attached to kitchen objects.
University of Dundee
2012
Computer Science
Computer Vision
Ubiquitous Computing
Activity Recognition
English
2012
Visual dataset
32.8 GB
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
50 Salads Activity recognition research has shifted focus from distinguishing full-body motion patterns to recognizing complex interactions of multiple entities. Manipulative gestures - characterized by interactions between hands, tools, and manipulable objects - frequently occur in food preparation, manufacturing, and assembly tasks, and have a variety of applications including situational support, automated supervision, and skill assessment. With the aim to stimulate research on recognizing manipulative gestures we introduce the 50 Salads dataset. It captures 25 people preparing 2 mixed salads each and contains over 4h of annotated accelerometer and RGB-D video data. Including detailed annotations, multiple sensor types, and two sequences per participant, the 50 Salads dataset may be used for research in areas such as activity recognition, activity spotting, sequence analysis, progress tracking, sensor fusion, transfer learning, and user-adaptation.