Categorical Timeline Allocation and Alignment for Diagnostic Head Movement…
Atypical head movement pattern characterization is a potentially important cue for identifying children with autism spectrum disorder. In this paper, we implemented a computational framework for extracting the temporal patterns of head movement and utilizing the imbalance of temporal pattern distribution between diagnostic categories (e.g., children with or without autism spectrum disorder) as potential diagnostic cues. Read more “Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis”