Developing Proficiency in Food Service Technology
A fascinating dataset tracking the movements of cooks while flipping food on a grill has been created by researchers at the Sant'Anna School of Advanced Studies and Electrolux Professional. This comprehensive dataset provides intricate details about the food involved, the type of utensil used, the force and torque applied to utensils, and even each chef's pose and eye gaze.
The data collection process was meticulously carried out, with sensors attached to utensils measuring motion, force, torque, and temperature. Additionally, motion capture cameras and a wearable eye tracking headset were utilised to film the cooks while they flipped food.
The dataset contains information on 2,866 flipping motions made by nine cooks, comprising four restaurant chefs and five home cooks. This diverse group of cooks allowed for a comprehensive analysis of cooking techniques across various skill levels.
However, for those interested in accessing this unique dataset, it may prove challenging. Currently, no open dataset source or public repository for this specific dataset is indicated in the search results. To gain access, your best approach would be to contact the Sant'Anna School of Advanced Studies directly via their official website or research department, or to reach out to Electrolux Professional's research or innovation division.
Another strategy could be to look for published academic papers or project reports authored by researchers from these institutions, as they may provide data access instructions or supplementary material links.
Image credit: Flickr user Ginny provides visual context for the data collection process. Despite the lack of direct publicly available links or dataset downloads for the cooking movements tracked by the researchers, this dataset promises to offer valuable insights into the art of cooking and could potentially revolutionise the way we understand and teach culinary techniques.
This unique dataset, focusing on cooking techniques, was created by researchers at the Sant'Anna School of Advanced Studies and Electrolux Professional. It meticulously captures various aspects of food flipping, including data on the utensil's motion, force, torque, temperature, and even chef's poses and eye gaze. Although the dataset is not publicly available at the moment, interested parties can reach out to the research teams directly via their official websites for potential access. Additionally, published academic papers or project reports from these institutions may provide data access instructions or supplementary material links. This dataset could potentially revolutionize the understanding and teaching of culinary techniques in future with its detailed insights into the art of cooking.
