飲食感測餐桌 - 感測飲食行為之智慧平面

Diet-Aware Dining Table – A Smart Surface to Observe Tabletop Dietary Behaviors

張耿豪(Keng-hao Chang)

指導教授 ： 朱浩華

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2006年)

https://doi.org/10.6342/NTU.2006.00786

摘要

無資料

關鍵字

感測器 ； 人工智慧 ； 飲食 ； 健康

並列摘要

We are what we eat. Our everyday food choices affect our long-term and short-term health. In the traditional health care, professionals assess and weigh each individual’s dietary intake using intensive labor at high cost. In this paper, we design and implement a diet-aware dining table that can track what and how much we eat. To enable automated food tracking, the dining table is augmented with two layers of weighing and RFID sensor surfaces. We devise a weight-RFID matching algorithm to detect and distinguish how people eat. To validate our diet-aware dining table, we have performed experiments, including live dining scenarios (afternoon tea and Chinese-style dinner), multiple dining participants, and concurrent activities chosen randomly. Our experimental re-sults have shown encouraging recognition accuracy, around 80%. We believe monitoring the dietary behaviors of individuals potentially contribute to diet-aware healthcare.

並列關鍵字

sensors ； aritficial intelligence ； rule-based inference ； diet

參考文獻

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