Robohub.org
 

Change the size of food and your appetite with AR system from Tokyo U.


by
02 November 2012



share this:

 

12-0201-r

At the University of Tokyo, the Hirose Tanikawa Group has developed an AR system that can manipulate the user’s feeling of having eaten enough, by changing how big the food appears.

This system features a head-mount display with a camera, and uses image processing to make food look bigger than it actually is. The size of the food in the hands can be changed in real time, while keeping the size of the hands constant. The system creates a natural image by using a deformation algorithm, to alter the shape of the hands in line with the size of the food.

“This technology can stimulate a feeling of having eaten enough visually. We’ve found that when food looks bigger, you feel full right away, but when it looks small, you don’t feel full even if you eat a lot.”

“In the US, obesity is a huge problem, so there’s a lot of research on obesity. For example, it’s been shown that the amount people eat varies depending on the size of plates and packages. As part of such studies, we’ve been able to confirm that the amount eaten actually changes when the size of the food does.”

“So far, we’ve done tests involving 12 subjects, under quite strict experimental conditions, to see if the amount eaten actually changed. When food was magnified 1.5 times, the amount eaten decreased by about 10%. When it was made to look two-thirds its actual size, the amount eaten increased by about 15%.”

“Currently with this head-mount display, the picture is chroma-keyed using a bluescreen. But we’d like to make this system usable in the home, by using smarter image-processing technology, so it could be used for any food on various kinds of tables. In the future, we hope to develop technology that encourages healthy eating habits without the need to think. For example, high-calorie foods that shouldn’t be eaten much could be automatically magnified by the computer, and foods that should be eaten in larger amounts could be made to look smaller so people will eat more.”



tags: ,


DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.
DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Muscle coordination can be mimicked by electric motors – it could lead to improved robots

  02 Nov 2026
Researchers built a physical model using ordinary electric motors to try and simulate how muscles may perform tasks.

Robot Talk Episode 168 – Advancing robotics with novel electronics, with Zlatka Stoeva

  30 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Zlatka Stoeva from DZP Technologies about flexible, stretchable and soft printed electronics for dexterous robots.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

and   28 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

Robots in Society, Business and Culture: September 2026

We showcase a selection of robotics stories from society, business, research and culture.

Robot Talk Episode 167 – Automating construction, with Jan Petrš

  23 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jan Petrš from École Polytechnique Fédérale de Lausanne about novel robot designs for construction and architecture.

ACM SIGAI Autonomous Agents Award 2027 open for nominations

  20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.

Powered by muscle cells, a paper-thin robot swims through watery maze

  19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.

Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova

  16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence