What's Trending at 5:30, Monday, November 4th - WJBF-TV ABC 6 Augusta-Aiken

What's Trending at 5:30, Monday, November 4th

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Augusta, GA -

Time for what's trending at 5:30...

A college student in new york city is recovering after being trapped between two buildings.
Asher Vongtau spent nearly two days trapped in a two-foot crevice between an 18 story apartment building and a parking garage.
His legs were crossed, he was on his side, he was moving his right arm.
He vanished saturday morning - after someone pulled a fire alarm at an NYU dorm.
Witnesses say while other students were running out of the building - Vongtau was running back in.
Friends pleaded with campus security to help search for their friend....and that is when he was found. The 19- year old is said to be in stable condition.

On Tuesday, voters in 11 northern Colorado counties will decide whether they want their commissioners to move forward with a plan to break away from the state.
A group called "Club 20" says they feel they've been ignored by the denver-centric state legislature.....when it comes to issues like, civil unions, energy policy and gun control. Critics say congress wouldn't allow it. Another option could be a reconfiguration of the Colorado legislature and that would allow representatives to be elected by county instead of population.

A man caught on camera sparking a gas station fire that burned his wife is now facing criminal charges.
Surveillance video shows 37-year-old Austin Dawkins standing by his wife when police say he flicked his cigarette lighter near his truck's gas tank.....and the flames just erupted. His wife had second and third-degree burns. Dawkins is facing a misdemeanor reckless conduct charge.

Listen up students, if you fall asleep in class a new device will let your teachers know.  
A new tool claims to read and interpret every student's attentiveness in the class room, using facial recognition.
sensorstar labs invented,  "Engage-Sense." The program tracks student's focus and attentiveness.
A camera focuses on every student's face in class and during the lesson, the camera tracks eye movement and facial expression.  
That data gets interpreted through a complex series of algorithms and is then turned into a report, which shows whether each student was engaged in the lesson plan or not.  
This could help teachers gauge a students interest and teach more effectively.

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