Title:
Vision-Based Monitoring of Behavioral Disorders
Vision-Based Monitoring of Behavioral Disorders
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Author(s)
Papanikolopoulos, Nikolaos P.
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Abstract
This work involves algorithms to assist with the early diagnosis of children
who are at risk of developing behavioral disorders. Previous research has
indicated that two critical areas of behavioral investigation for use in
identifying at-risk children have been abnormalities in motor activities and
emotional range displays, especially of the face. Motor abnormalities are
based on the observation that motor control involves the circuits of the
brain associated with dopamine; these are also implicated in behavioral
disorders. Many different disorders share the observation of disruption in
the emotional range regulation, so facial expressions are included in the
study.
To date, assessments of motor and emotional range have been done by the
experts who view and rate videos of an individual. However, these expert,
subjective ratings limit the analysis of behavioral conditions to only a
narrow range of behaviors, work only for small populations of individual
subjects, and are both costly and dependent on the observer's particular
expertise. In order to enable wider population screening, automation is
required. Innovative ways of capturing and quantifying the expertise of
experts are accompanied by metrics for assessing the evolution of the
behavior. In addition, new computational tools support evaluation of the
effectiveness of interventions.
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Date Issued
2016-01-13
Extent
48:47 minutes
Resource Type
Moving Image
Resource Subtype
Lecture