| 摘要 |
Described is enabling a person to quantify the effect of mobility, physical activity, learning, social interaction and diet on cognitive function by recording one of global positioning system longitude and latitude coordinates, accelerometer coordinates, and gyroscope coordinates, one of outgoing and incoming phone calls, outgoing and incoming emails, and outgoing and incoming text messages, one of URLs visited on an internet browser application, books read on an e-reader application, games played on game applications, and the nutritional content of food consumed. A learning function maps from the recordings to measurements of cognitive function using a loss function to identify a set of optimal weights that produce a minimum for the loss function, uses those optimal weights to create the function mapping, and computes the variance of the cognitive function measurements to assign an attribution to the effect of physical activity on measured changes in cognitive function. |
