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.

Automated detection of impulsive movements in HCI / Niewiadomski, Radoslaw; Mancini, Maurizio; Volpe, Gualtiero; Camurri, Antonio. - ELETTRONICO. - (2015), pp. 166-169. (Intervento presentato al convegno 11th Biannual Conference of the ACM SIGCHI Italian Chapter, CHItaly 2015 tenutosi a Roma, Italia nel 2015) [10.1145/2808435.2808466].

Automated detection of impulsive movements in HCI

NIEWIADOMSKI, RADOSLAW;
2015-01-01

Abstract

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.
2015
CHItaly 2015 Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter
USA
Association for computing machinery
9781450336840
Niewiadomski, Radoslaw; Mancini, Maurizio; Volpe, Gualtiero; Camurri, Antonio
Automated detection of impulsive movements in HCI / Niewiadomski, Radoslaw; Mancini, Maurizio; Volpe, Gualtiero; Camurri, Antonio. - ELETTRONICO. - (2015), pp. 166-169. (Intervento presentato al convegno 11th Biannual Conference of the ACM SIGCHI Italian Chapter, CHItaly 2015 tenutosi a Roma, Italia nel 2015) [10.1145/2808435.2808466].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/279356
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