  Children with profound intellectual and multiple disabilities or severe motor
and intellectual disabilities only communicate through movements,
vocalizations, body postures, muscle tensions, or facial expressions on a pre-
or protosymbolic level. Yet, to the best of our knowledge, hardly any system
has been developed to interpret their expressive behaviors. This paper
describes the design, development, and testing of ChildSIDE in collecting
behaviors of children and transmitting location and environmental data to the
database. The movements associated with each behavior were also identified for
future system development. ChildSIDE app was pilot tested among purposively
recruited child-caregiver dyads. ChildSIDE was more likely to collect correct
behavior data than paper-based method and it had >93% in detecting and
transmitting location and environment data except for iBeacon data. Behaviors
were manifested mainly through hand and body movements and vocalizations.
