Video measurement of resident-on-resident physical aggression in nursing homes

Authors:
Datong Chen;Ming-yu Chen;Howard Wactlar;Can Gao;Ashok Bharucha
Affiliations:
Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
Venue:
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Year:
2008

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Abstract

Automated detection of aggressive behaviors captured in continuously recorded nursing home video can increase the accuracy of those reported by subjects and caregivers. We implement a detection algorithm based on the extraction of features as local binary motion descriptors, and apply a novel clustering algorithm to merge similar LBMD's into a video codebook, and build recognizers to classify aggressive from non-aggressive behaviors. This facilitates clinical investigation into this difficult to measure low frequency but high impact behavior.