Estimating Sheep Pain with Facial Recognition episode artwork

EPISODE · Jul 14, 2017 · 27 MIN

Estimating Sheep Pain with Facial Recognition

from Data Skeptic

Animals can't tell us when they're experiencing pain, so we have to rely on other cues to help treat their discomfort. But it is often difficult to tell how much an animal is suffering. The sheep, for instance, is the most inscrutable of animals. However, scientists have figured out a way to understand sheep facial expressions using artificial intelligence. On this week's episode, Dr. Marwa Mahmoud from the University of Cambridge joins us to discuss her recent study, "Estimating Sheep Pain Level Using Facial Action Unit Detection." Marwa and her colleague's at Cambridge's Computer Laboratory developed an automated system using machine learning algorithms to detect and assess when a sheep is in pain. We discuss some details of her work, how she became interested in studying sheep facial expression to measure pain, and her future goals for this project. If you're able to be in Minneapolis, MN on August 23rd or 24th, consider attending Farcon. Get your tickets today via https://farcon2017.eventbrite.com.

Episode metadata supplied by the publisher feed · Published Jul 14, 2017

Embed this episode

NOW PLAYING

Estimating Sheep Pain with Facial Recognition

0:00 27:05

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Skeptic?

This episode is 27 minutes long.

When was this Data Skeptic episode published?

This episode was published on July 14, 2017.

Can I download this Data Skeptic episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!