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Automated Detection of Impulsive Movements in HCI
Author(s) -
Radosław Niewiadomski,
Maurizio Mancini,
Gualtiero Volpe,
Antonio Camurri
Publication year - 2015
Publication title -
cineca iris institutial research information system (university of genoa)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2808435.2808466
Subject(s) - dance , computer science , movement (music) , perception , feature (linguistics) , human–computer interaction , artificial intelligence , psychology , art , philosophy , linguistics , literature , neuroscience , aesthetics
This paper introduces an algorithm for automatically measuring impulsivity. This can be used as a major expressive movement feature in the development of systems for realtime analysis of emotion expression from human full-body movement, a research area which has received increased attention in the affective computing community. In particular, our algorithm is developed in the framework of the EUH2020- ICT Project DANCE aiming at investigating techniques for sensory substitution in blind people, in order to enable perception of and participation in non-verbal, artistic whole-body experiences. The algorithm was tested by applying it to a reference archive of short dance performances. The archive includes a collection of both impulsive and fluid movements. Results show that our algorithm can reliably distinguish impulsive vs. sudden performances

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