Flipping food during grilling tasks, a dataset of utensils kinematics and dynamics, food pose and subject gaze

Abstract

This paper presents a multivariate dataset of 2866 food flipping movements, performed by 4 chefs and 5 home cooks, with different grilled food and two utensils (spatula and tweezers). The 3D trajectories of strategic points in the utensils were tracked using optoelectronic motion capture. The pinching force of the tweezers, the bending force and torsion torque of the spatula were also recorded, as well as videos and the subject gaze. These data were collected using a custom experimental setup that allowed the execution of flipping movements with freshly cooked food, without having the sensors near the dangerous cooking area. Complementary, the 2D position of food was computed from the videos. The action of flipping food is, indeed, gaining the attention of both researchers and manufacturers of foodservice technology. The reported dataset contains valuable measurements (1) to characterize and model flipping movements as performed by humans, (2) to develop bio-inspired methods to control a cooking robot, or (3) to study new algorithms for human actions recognition.

Quotidian Profile of Vergence Angle in Ambulatory Subjects Monitored with Wearable Eye Tracking Glasses

“…For example, they have been deployed to monitor the gaze of nurses in an intensive care unit, chefs cooking food, and workers in industrial occupations. [20][21][22] They may also prove valuable for early detection of impaired eye movements associated with certain movement disorders, such as Parkinson disease and supranuclear palsy. In Parkinson disease, deficient convergence with diplopia at near is a prevalent symptom.…”