that, apple watches were being used to detect heart attacks, had a kind of lightbulb moment and i thought, maybe this could be applied to women safety. but as the team _ be applied to women safety. but as the team have discovered, it is difficult to simulate distress.— is difficult to simulate distress. ~ ., , distress. we looked at loads and loads — distress. we looked at loads and loads of _ distress. we looked at loads and loads of police - distress. we looked at loads and loads of police reports l distress. we looked at loads i and loads of police reports and loads and loads of cctv footage of people being attacked and we tried to find things that were common among them, and we saw the struggling motion the pushing motion, that kind of change from being very regular and repetitive to something that was erratic. so and repetitive to something that was erratic.— that was erratic. so they created _ that was erratic. so they created a _ that was erratic. so they created a test _ that was erratic. so they created a test which - that was erratic. so they - created a test which allowed them to create the data to train an algorithm which could recognise similar events. 26 -lus recognise similar events. 26 [us 58. recognise similar events. 26 plus 58. this _ recognise similar events. 26 plus 58. this smartwatch i recognise similar events. 26 l plus 58. this smartwatch tech is an early _ plus 58. this smartwatch tech is an early development, - plus 58. this smartwatch tech is an early development, but| plus 58. this smartwatch tech | is an early development, but if the team managed to crack it, it could be something we see being used by women in the future. the be safe app for