Chinese classrooms using brain-scanning headbands to measure students’ focus

The video discusses the use of headbands equipped with EEG sensors to measure students' attention spans. These headbands detect brain signals, which are analyzed by an AI algorithm to determine focus levels. The data is displayed in real-time on a dashboard, with attention levels indicated by colors: blue for relaxed, yellow for focused, and red for extremely focused.

What technology is used in headbands to measure students' attention spans?

What is the significance of the signals detected by the headbands?

How does the AI algorithm determine a student's focus level?

Describe how the attention levels of students are monitored in real time.

What do the different colors on the headset indicate about a student's attention level?