This was revealed in a study by researchers from Binghamton University in the US.
The researchers combined data from embedded sensors in wearable technologies such as smartwatches and fitness trackers.
Wearable devices can be exploited.
The team used Backward PIN-sequence Inference Algorithm to break codes with alarming accuracy without context clues about the keypad.
Wang co-authored the study along with Chen Wang from the Stevens Institute of Technology in New Jersey.
source: www.techworm.net
