Food is central to life. Food provides us with energy and foundational building blocks for our body and is also a major source of joy and new experiences. A significant part of the overall economy is related to food. Food science, distribution, processing, and consumption have been addressed by different communities using silos of computational approaches. In this paper, we adopt a person-centric multimedia and multimodal perspective on food computing and show how multimedia and food computing are synergistic and complementary. Enjoying food is a truly multimedia experience involving sight, taste, smell, and even sound, that can be captured using a multimedia food logger. The biological response to food can be captured using multimodal data streams using available wearable devices. Central to this approach is the Personal Food Model. Personal Food Model is the digitized representation of the food-related characteristics of an individual. It is designed to be used in food recommendation systems to provide eating-related recommendations that improve the user's quality of life. To model the food-related characteristics of each person, it is essential to capture their food-related enjoyment using a Preferential Personal Food Model and their biological response to food using their Biological Personal Food Model. Inspired by the power of 3-dimensional color models for visual processing, we introduce a 6-dimensional taste-space for capturing culinary characteristics as well as personal preferences. We use event mining approaches to relate food with other life and biological events to build a predictive model that could also be used effectively in emerging food recommendation systems.

中文翻译：

---

个人食物模型

食物是生活的中心。食物为我们提供能量和身体的基本组成部分，也是快乐和新体验的主要来源。整体经济的很大一部分与食品有关。食品科学、分销、加工和消费已被不同社区使用计算方法的孤岛解决。在本文中，我们采用以人为中心的多媒体和多模态视角来看待食物计算，并展示多媒体和食物计算如何协同和互补。享受食物是一种真正的多媒体体验，涉及视觉、味觉、嗅觉甚至声音，可以使用多媒体食物记录器进行记录。可以使用可用的可穿戴设备使用多模式数据流捕获对食物的生物反应。这种方法的核心是个人食物模型。个人食物模型是个人食物相关特征的数字化表示。它旨在用于食物推荐系统，以提供与饮食相关的推荐，从而提高用户的生活质量。为了模拟每个人的食物相关特征，必须使用优先个人食物模型捕捉他们与食物相关的享受，并使用他们的生物个人食物模型捕捉他们对食物的生物反应。受 3 维颜色模型的视觉处理能力的启发，我们引入了 6 维味觉空间来捕捉烹饪特征和个人喜好。