Towards Automated Video Analysis of Sensorimotor Assessment Data

@inproceedings{Fouquier2014TowardsAV,
  title={Towards Automated Video Analysis of Sensorimotor Assessment Data},
  author={Ana B. Graciano Fouquier and S{\'e}verine Dubuisson and Isabelle Bloch and Anja Kl{\"o}ckner},
  booktitle={ICPRAM},
  year={2014}
}
Sensorimotor assessment aims at evaluating sensorial and motor capabilities of children who are likely to present a pervasive developmental disorder, such as autism. It relies on playful activities which are proposed by a psychomotrician expert to the child, with the intent of observing how the latter responds to various physical and cognitive stimuli. Each session is recorded so that the psychomotrician can use the video as a support for reviewing in-session impressions and drawing final… 

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References

SHOWING 1-10 OF 23 REFERENCES
A computer vision approach for the assessment of autism-related behavioral markers
TLDR
Computer vision tools to measure and identify ASD behavioral markers based on components of the Autism Observation Scale for Infants (AOSI) are provided, with results that provide insightful knowledge to augment the clinician's behavioral observations obtained from real in-clinic assessments.
Behavior Imaging: Using Computer Vision to Study Autism
TLDR
A research agenda in Behavior Imaging targets the capture and analysis of social and communicative behaviors and illustrative results from an on-going project on the content-based retrieval of social games between children and adults from an unstructured video corpus are presented.
Decoding Children's Social Behavior
TLDR
A new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction designed to elicit a broad range of social behaviors based on video and audio data is introduced.
Developing technology for autism: an interdisciplinary approach
We present an interdisciplinary methodology for designing interactive multi-modal technology for young children with autism spectrum disorders (ASDs). In line with many other researchers in the
A framework for automated measurement of the intensity of non-posed Facial Action Units
TLDR
This paper develops a framework to measure the intensity of AU12 and AU6 in videos captured from infant-mother live face-to-face communications and shows significant agreement between a human FACS coder and the approach, which makes it an efficient approach for automated measurement of theintensity of non-posed facial action units.
Smile or smirk? Automatic detection of spontaneous asymmetric smiles to understand viewer experience
TLDR
This work presents the first automated system for detecting spontaneous asymmetric lip movements as people watched online video commercials, and demonstrates the application of this work to measuring viewer affective responses to video content.
Retrait relationnel et signes prcoces d'autisme : tude prliminaire partir de films familiaux
Bien que symptome-clef du diagnostic d’autisme, le retrait relationnel a ete jusqu’ici peu explore dans l’etude des signes precurseurs des troubles envahissants du developpement (TED). La presente
Robust Detection of Lines Using the Progressive Probabilistic Hough Transform
TLDR
The progressive probabilistic Hough transform minimizes the amount of computation needed to detect lines by exploiting the difference in the fraction of votes needed to reliably detect lines with different numbers of supporting points.
Color-Based Probabilistic Tracking
TLDR
This work introduces a new Monte Carlo tracking technique based on the same principle of color histogram distance, but within a probabilistic framework, and introduces the following ingredients: multi-part color modeling to capture a rough spatial layout ignored by global histograms, incorporation of a background color model when relevant, and extension to multiple objects.
...
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