FCCM '02 Proceedings of the 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Object-oriented knowledge representation and discovery of human chewing behaviours
Engineering Applications of Artificial Intelligence
Object-oriented knowledge framework for modelling human mastication of foods
Expert Systems with Applications: An International Journal
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The information on mastication and food sensory properties is usually collected by recording people's ingesting and chewing actions using electromyography, fluorography, cinephotography, videofluorography, ultrasonography, magnetic resonance imaging and so on. The process of human food mastication and swallowing is investigated by Discrete (or Distinct) Element Method (DEM) in this work. The fundamental concepts and algorithms of DEM are presented in this paper. Two initial models of human chewing and swallowing are constructed and relevant simulations are executed by PFC2D software. The first biting of rectangle food, round food, round food with a hole and the food swallowing are simulated. Changes in food reduction and jaw motion with respect to food mechanical properties and oral cavity state are observed during simulations. The movement and interaction of food particles, contact forces between the particles and teeth are analysed. Results from simulations can help understand masticatory performance and promote food product development.