A study of cognitive development in infants based on sensor data from smart toys

Aim: We aim to create a smart toy using Arduino and Raspberry PI, which is able to send information to the cloud and smartphones when a child is playing with it.

Social/scientific motivation: Parents are always worried about the growth of their babies, as well as the development of their personality. With this toy, parents can not only know how often their children play with the toy, but how the child interacts with it and develops.

Scientific background: Longitudinal data with a high temporal resolution, following the same child over years, is rare. Currently, we are only aware of Deb Roy’s pilot study where he recorded 230,000 hours of audio-video recordings spanning the first three years of his child’s life at home in order to study how language develops. We plan to study how children learn sensorimotor skills by recording their interaction with our smart toy almost every day during the first three years.

My motivation: I think this project is the beginning of IoT. We start by collecting and analyzing the data from toys. Also, I can learn Python, Arduino, and Raspberry PI. It’s helpful for me.

Members: Alan Yu


Posted on

March 25, 2018