Developing Skills in Culinary and Tech Proficiencies
In an exciting development, researchers at the Sant'Anna School of Advanced Studies and Electrolux Professional have created a unique dataset tracking cooks' movements while flipping food on a grill. This dataset, which contains detailed information about 2,866 flipping motions made by nine cooks (four restaurant chefs and five home cooks), was collected using motion capture cameras, wearable eye tracking headsets, and sensors attached to utensils that measure motion, force, torque, and temperature.
The dataset provides valuable insights into various cooking styles and techniques, offering a diverse range of data that could potentially revolutionise the way we cook in both professional and home settings. The data includes details about the food involved, the type of utensil used to flip the food, the force and torque applied to utensils, and each chef's pose and eye gaze.
However, as of now, there are no direct links available for accessing this dataset. To obtain the dataset, it is recommended to visit the official websites of Sant'Anna School of Advanced Studies and Electrolux Professional to check for any public dataset releases, project pages, or publications referencing the dataset.
If no information is found, you can reach out to the relevant research group or department at Sant'Anna School directly, typically the robotics, computer vision, or AI lab if it's related to cooking movements. Alternatively, you can also reach out to Electrolux Professional through their corporate or innovation contacts to request access or inquire about collaboration agreements that allow data sharing.
Another approach could be to look for academic papers or conference presentations published by Sant'Anna researchers on this dataset, as such papers often include contact information or links to repositories where the data can be accessed.
Remember, this dataset was created to analyze and improve the efficiency of cooking techniques, and it could pave the way for more efficient and effective cooking methods in the future. So, let's keep our fingers crossed and hope for easy access to this fascinating dataset soon!
Image credit: Flickr user Ginny.
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