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Caitlin Little gives feedback to Not Impossible ’ s head of strategy , Joe Babarsky , on the design of software being developed to address her memory disorder , while her mother looks on .
operate on a smartphone , tablet , or smartwatch , receives information transmitted in real time over the internet from a variety of sensors ( visual , audio , and touch , for now ) in proximity to Caitlin or embedded in her clothes .
The data from the sensors is integrated along with other information coming from facial- and speaker-recognition software embedded in the app to guide Caitlin through the mundane moments of life we all take for granted . For example , a motion sensor captures her waking up in the morning and alerts her smartphone or other mobile device to buzz , prompting her to log on to the app .
“ The app may tell her she needs time to brush her teeth for two minutes ,” says Marathay . “ Once done , she may be guided to take a shower , and , after that , to get dressed for the day . Images on the app can show some clothes she ’ s recently worn to allow her to choose something different , if she pleases .”
Once she ’ s dressed , the app provides options for breakfast and related tutorials , scrambling some eggs , for instance . Caitlin ’ s appointments for the day are provided , along with relevant transportation information . “ Haptics [ touch ] sensors in her shoes direct the way to the bus or train location , vibrating in her left shoe when she needs to turn left and in her right shoe to turn right , with the app explaining what these vibrations mean ,” Marathay says .
On the way , the app ’ s voice and facial recognition features may alert her to the presence of a friend or acquaintance , and provide the context of the relationship . “ Our hope is the repetition of all this information will result in some memory improvements ,
PHOTO COURTESY OF NOT IMPOSSIBLE LABS