Abstract
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This paper investigates a `fingerprinting' technique for describing human motion sequences. This work shows
that human motion fingerprints can facilitate the search of human motion within large databases, similar to the
fingerprinting approach used for the search of audio and image databases. This paper investigates the
extraction of a reliable set of features from human motion capture data sequences that can be combined to
generate a unique fingerprint. Results show that the fingerprints could be used to reliably differentiate between
unique motions.