Fake smiles and the computers that can spot them: 6 Minute English
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Sometimes it can be difficult to tell if someone is really smiling or the smirk on their face is fake. But now there are computers that are able tell real smiles from fake ones better than humans can. How do they work and what are the benefits? It's something Neil and Sam are discussing in 6 Minute English as well as teaching you some useful vocabulary that will hopefully bring a smile to your face.
This week's question:
The expressions we can make with our face are controlled by muscles. How many muscles do we have in our face? Is it:
A: 26
B: 43
C: 62
Listen to the programme to get the answer.
Vocabulary:
facial
adjective to do with the face
to infer
to come to a decision about something using the information you have, which may not be complete
in real time
at the same time as, without delay
to induce
to cause something to happen
genuine
real, not fake
to figure out
to calculate, to work out
:
facial
adjective to do with the face
to infer
to come to a decision about something using the information you have, which may not be complete
in real time
at the same time as, without delay
to induce
to cause something to happen
genuine
real, not fake
to figure out
to calculate, to work out
Nawar: Hi, I think genuine smile requires more muscles, so it's easy for computers to determine what kind of smile it is by calculating how many muscles moves each time. Anyway, I think computers can be tricked by people when they know how this method works. This program is somehow similar to the program that can distinguish between a lier and a one telling the truth by measuring the level of the adrenaline releasing when someone is being asked , which also was tricked. Date: 2020-09-18
