Slice&Dice: Recognizing Food Preparation Activities Using Embedded Accelerometers

Within the context of an endeavor to provide situated support for people with cognitive impairments in the kitchen we developed and evaluated classifiers for recognizing 11 actions involved in food preparation Data was collected from 20 lay subjects using four specially designed kitchen utensils incorporating embedded 3-axis accelerometers Subjects were asked to prepare 1 mixed salad m our laboratory-based instrumented kitchen environment Video of each subject\u27s food preparation activities were independently annotated by duce different. coders Several classifiers were trained and tested using these features With an overall accuracy of 82 9% our investigation demonstrated that a broad set, of food preparation actions can be reliably recognized using sensors embedded in kitchen utensil