Using computer-assisted neural networks, researchers accurately identify affective states from tennis players' body language. AI's accuracy matches human assessments, addressing ethical concerns.
"Our model can identify affective states with an accuracy of up to 68.9 percent, comparable to human observers and earlier automated methods," said Professor Darko Jekauc.
Collection
[
|
...
]