A Feasibility Study of a Wearable Real-Time Notification System for Self-Awareness of Body-Rocking Behavior

Wearable sensors have been shown to be effective for promoting self-awareness, wellness and re-education. In this work, we perform a preliminary study analyzing the real-time detection and annotation of body-rocking behavior in individuals, which is a type of Stereotypical Motor Movement (SMM). We develop a platform for real-time annotation and detection using wireless inertial sensors and an embedded device. The annotations are analyzed in order to study the duration and frequency of the behavior, and they are corrected offline in order to better understand any offsets in the real-time annotation procedure. Finally, we show the feasibility of a real-time feedback system based on a proof of concept algorithm and the necessary computation resources to execute it.