Building a Recognition Process of Cooking Actions for Smart Kitchen System
Smart kitchen should be focusing its development on the actual interaction with users and the environmental objects rather than emphasizing on complicated instructions and feedback. Unfortunately, the current techniques can only be designed to identify motions and basic actions. The main purpose of this paper is to analyze and research user motions and actions involved in the process of cooking, including ingredient preparation, and to discover multiple action identification characteristics for the user and cooking utensils. By using the video analysis, ultimately, the project will use these characteristics to establish a reliable cooking-action database. Our study can distinguish between similar actions. The model is primarily used to identify, understand and differentiate the extent of the intellectuality of user motions. This model may be used in the future in the application to cooking support systems or other smart kitchen developments.
KeywordsSmart Kitchen Human Behavior Taxonomies Motion analysis Video analysis Decision Tree Learning
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- 2.Ding, D., Cooper, R.A., Pasquina, P.F., Fici-Pasquina, L.: Sensor technology for smart homes. Research Support, U.S. Gov’t, Non-P.H.S. Review. Maturitas 69(2), 131–136 (2011), doi:131-136. doi: 10.1016/j.maturitas. 2011.03.016Google Scholar
- 3.Hashimoto, A., Funatomi, N.M., Yamakata, T., Kakusho, Y., Minoh, K., Smart Kitchen, M.: Smart Kitchen: A User Centric Cooking Support System. Paper presented at the Proceedings IPMU (2008)Google Scholar
- 5.Morioka, S., Ueda, H.: Cooking Support System Utilizing Built-in Cameras and Projectors. Paper presented at the The 12th IAPR Conference on Machine Vision Applications. Nara Centennial Hall, Nara (2011)Google Scholar