Improvement of QOL on diet therapy at home based on Augmented Reality and Food Big Data Analysis

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K12356
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Eating habits
• Research Institution: Nara Institute of Science and Technology
• Principal Investigator: Kato Hirokazu 奈良先端科学技術大学院大学, 情報科学研究科, 教授 (70221182)
• Co-Investigator(Renkei-kenkyūsha): KANAYA Shigehiko 奈良先端科学技術大学院大学, 情報科学研究科, 教授 (90224584) ; Sandor Christian 奈良先端科学技術大学院大学, 情報科学研究科, 准教授 (80733196) ; YAMAMOTO Goshiro 京都大学, 医学研究科, 特定講師 (70571446) ; TAKETOMI Takafumi 奈良先端科学技術大学院大学, 情報科学研究科, 助教 (50610664) ; KIDO Shinsuke 近畿大学, 農学部, 准教授 (30437652) ; INAMURA Maya 近畿大学, 農学部, 助手 (40709010)
• Research Collaborator: UENISHI Kozue 近畿大学, 農学部, 助手 (40709523)
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: 在宅食事療法 / 食材データベース / ＱＯＬ改善

Outline of Final Research Achievements

We confirmed the importance of examining the menu of restricted diet while paying attention to micronutrients by utilizing the nutrient database we developed. Furthermore, we confirmed that adjusting nutritional constraints in multiple days is effective for improving patients' QOL by using our menu recommendation system. In order to introduce tablet type augmented reality technology into such a recommendation system, we also examined to evaluate its usefulness as a user interface, and established guidelines for the evaluation.

Free Research Field

情報科学