• Corpus ID: 48369331

Cookin’: Interactive Cooking Assistant

@inproceedings{Khurana2017CookinIC,
  title={Cookin’: Interactive Cooking Assistant},
  author={Urja Khurana and Melissa Tjhia},
  year={2017}
}
This report focuses on an interactive system that helps people during cooking by guiding them through the steps of a recipe which is obtained with the Spoonacular API. This involves both text and speech instructions that the system gives to the user, while the user can interact with it by using their voice and poses. In literature, these systems have been explored before, but only certain parts were implemented or it only gave limited feedback during cooking. This system guides a user… 

Figures from this paper

References

SHOWING 1-5 OF 5 REFERENCES
Cooking navi: assistant for daily cooking in kitchen
TLDR
According to the result of a preliminary experiment, all users from novice to experienced cooks could finish two dishes in parallel while enjoyeing the cooking very much, shows the effectiveness of the multimedia navigation that is proposed.
Smart Kitchen: A User Centric Cooking Support System
TLDR
The design of the Smart Kitchen system is discussed and three essential modules of tracking food, recognizing food material, and recognizing cooking action are explained.
Smart cooking support system based on interaction reproducing model
TLDR
A novel idea for a smart cooking support system controlled by an Interaction Reproducing Model that adjusts the system output to reproduce ideal interactions between the system and the users, and appropriate advice is provided at the appropriate time.
Coupled hidden Markov models for modeling interacting processes
TLDR
A deterministic O(T(CN) 2) approximation for maximum a posterior (MAP) state estimation which enables fast classiication and parameter estimation via expectation maximization and compare these algorithms on synthetic and real data, including interpretation of video.
Chapter 8: Simple Categorization Methods, Fundamental Media Understanding
  • 2011