Smartphones are well suited for digital phenotyping given their widespread adoption and ownership, the extent to which users engage with the devices, and richness of data that may be collected from them.
Smartphone data can be used to study behavioral patterns, social interactions, physical mobility, gross motor activity, and speech production, among others.
[5] The use of passive data collection from smartphone devices can provide granular information relevant to psychiatric, aging, frailty,[6] and other illness phenotypes.
[12] One of the first implementations of digital phenotyping on smart phones was the Funf Open Sensing Framework, developed at the MIT Media Lab and launched on October 5, 2011.
[28] Recently published templates aim to address these challenges by providing standardized approaches to digital phenotyping research, potentially facilitating greater consistency and comparability across studies.