I am developing a system to acquire the physiological index at the wearable device, estimate the physical condition from the obtained physiological index, and recommend the recipe that matches the estimated physical condition. Research of Hiroya Kato, Second Year Master Course Student, Chuo University, Tokyo, Japan ( To Be Development! - Github: https://github.com/Hirosaji )

1. Development of
Recipe Recommendation System
using Physiological Index
Hiroya Kato,
Second Year Master Course Student, Chuo University, Tokyo, Japan
Introduction of the Research, Update: July 25, 2017
Development of
Recipe Recommendation System
using Physiological Index

2. To achieve
Full-automatic Kitchen
Terminal
of
Research
To achieve
Full-automatic Kitchen
2

3. Role
of
Cook
Food preparation
Gathering ingredients
Meal planning
Collecting / Memorizing recipes
Final Objective (1)
We often overlook it, but cook plays a lot of role.
3

4. Collecting / Memorizing recipes
Meal planning
Gathering ingredients
Food preparation
Many Role can be automated, but “Meal planning” still cannot be.
Robotics
Recipe
Search Engine
SCM &
Delivery System
Recommendation
System (To Be Proposed)
TBP
Final Objective (2)
Role
of
Cook
4

5. Related Research
Traditional Model
・Ihara, H [2013]:
Hunger
Physical
Condition
Mental
Condition
Lacking
Nutrition
Price
Culture
Eating
Memories
Situation
Food
Safety
Human
Result
The recommend engine recommends the dish to the user, and the
user selects the recommended dish.
5
Recommendation Engine

6. Traditional Model
In this research,
the recommend engine determines the dishes that the user eat.
Hunger
Physical
Condition
Mental
Condition
Lacking
Nutrition
Price
Culture
Eating
Memories
Situation
Food
Safety
Machine
Result
Approach of the Research
6
Recommendation Engine

7. Challenge of the Research (1)
Machine
Proposal Model
Result
It is hurdle
whether humans will accept
Result of automatic recommendation.
7

8. Hunger
Physical
Condition
Mental
Condition
Lacking
Nutrition
Price
Culture
Eating
Memories
Situation
Food
Safety
Recommend Engine
Proposal Model
In order to
overcome this hurdle,
it is necessary to expand
the data on the feature value
of automation and analyze them.
Challenge of the Research (2)
8

9. Hunger
Physical
Condition
Mental
Condition
Lacking
Nutrition
Price
Culture
Eating
Memories
Situation
Food
Safety
Recommend Engine
Proposal Model
With effective data,
a learned model
can be generated
by Machine Learning.
Challenge of the Research (3)
9

10. Approach for My Work
Proposal Model
・Kato, H [2017]:
We are developing the automated recommendation system.
However, effective data and interpretation of it are still missing.
10

11. Developing Work
1. UI / UX design
(Determination of how to act by questionnaire)
2. Construction of calculation model
(Create word2vec model with recipe & nutrient corpus)
3. Development of experimental application
(Develop iOS application on Swift, JS)
4. Consideration of evaluation method
(Considering evaluation method of satisfaction degree)
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