Dietary-Aware Dining Table - PowerPoint PPT Presentation

1 / 12
About This Presentation
Title:

Dietary-Aware Dining Table

Description:

Track food consumption of multiple users over a table by ... Put on cup. Drink tea? ( only if no match) RFID tag appears. Weight increases w2. ... – PowerPoint PPT presentation

Number of Views:28
Avg rating:3.0/5.0
Slides: 13
Provided by: Elai153
Category:
Tags: aware | dietary | dining | table

less

Transcript and Presenter's Notes

Title: Dietary-Aware Dining Table


1
Dietary-Aware Dining Table Tracking What and
How Much You Eat
  • Keng-hao Chang, Shih-yen Liu,
  • Jr-ben Tian, Hao-hua Chu, Cheryl Chen
  • National Taiwan University

2
Why Dietary-Aware Dining Table
  • We are what we eat.
  • Our everyday food choices affect our long-term
    and short-term health.

3
The food tracking table
  • Track food consumption of multiple users over a
    table by
  • Identify food items by RFID-tagged containers
  • Track food transfers by monitoring weight changes
    over a weighting surface

4
Related work
  • Lancasters load sensing table
  • Objective track objects location over the table
  • Method track the object by its center of weight
  • Dietary-aware dining table
  • Objective monitor food consumptions over the
    table
  • Method monitor the food path by weight transfer
    detection

5
How does the magic surface work?
  • Two examples

6
Example Scenario 1 (1/2)
  • Bob cuts a cake from the share plate to personal
    plate, and eats it
  • Detect cake transfer from one container to
    another container
  • Identify the presence of plates
  • RFID tags on containers
  • tag-food mapping
  • Track cake transfer
  • Weight change detection
  • Weight matching

7
Example Scenario 1 (1/2)
  • Bob pours tea from the tea pot to personal cup,
    and drinks it
  • Put on tea pot.
  • Pour tea!
  • RFID tag appears
  • Weight increases w1-w2
  • Pick up tea pot.
  • RFID tag disappears
  • Weight decreases w1
  • Pour tea?
  • Weight increases w2.

8
Example Scenario 1 (1/2)
  • Bob pours tea from the tea pot to personal cup,
    and drinks it
  • Put on cup.
  • Drink tea? (only if no match)
  • RFID tag appears.
  • Weight increases w2.
  • Pick up cup.
  • RFID tag disappears.
  • Weight decreases w1.

9
Example Scenario 2 (1/2)
  • Bob pours tea Alice cuts cake
  • Cut cake
  • Weight decreases w2
  • Pour tea?
  • Cut cake?
  • Weight change w
  • Pour tea
  • Weight increases w1

10
Example Scenario 2 (2/2)
  • Multiple, concurrent person-object interactions
  • The larger the cell, the higher possibility of
    concurrent interactions over a cell
  • Cell size average size of container
  • Reduce the possibility of concurrent interactions
    over one cell

11
System Archietecture
  • Bottom-up event triggered inference, JESS
  • Cake transfer from share plate to
  • personal plate
  • Share plate weight decrease w
  • Personal plate weight increase w
  • Share plate on cell j1
  • cell j1 weight decrease w
  • personal plate on cell j2
  • cell j2 weight increase w

12
Conclusion Future work
  • Simple prototype automatically tracks what and
    how much each individual eats.
  • Identify users other than by the personal plates
  • The reliability of the system
  • Weight matching method
  • Weight increase from the world outside of the
    table
  • Cross cell problem
  • Further reliable way to infer food path
  • Build LEGO like component

13
Thank you
  • Any question?
  • If you have further question, please email me
    Keng-hao Chang (khchang_at_csie.org)
Write a Comment
User Comments (0)
About PowerShow.com