In this work we present a framework and an experimental approach to investigate human body movement qualities (i.e., the expressive components of non-verbal communication) in HCI. We first define a candidate movement quality conceptually, with the involvement of experts in the field (e.g., dancers, choreographers). Next, we collect a dataset of performances and we evaluate the perception of the chosen quality. Finally, we propose a computational model to detect the presence of the quality in a movement segment and we compare the outcomes of the model with the evaluation results. In the proposed on-going work, we apply this approach to a specific quality of movement: Fluidity. The proposed methods and models may have several applications, e.g., in emotion detection from full-body movement, interactive training of motor skills, rehabilitation.

Movement fluidity analysis based on performance and perception / Piana, S.; Niewiadomski, R.; Volpe, G.; Alborno, P.; Mancini, M.; Camurri, A.. - ELETTRONICO. - (2016), pp. 1629-1636. (Intervento presentato al convegno 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 tenutosi a San Jose Convention Center, usa nel 2016) [10.1145/2851581.2892478].

Movement fluidity analysis based on performance and perception

Niewiadomski R.;
2016-01-01

Abstract

In this work we present a framework and an experimental approach to investigate human body movement qualities (i.e., the expressive components of non-verbal communication) in HCI. We first define a candidate movement quality conceptually, with the involvement of experts in the field (e.g., dancers, choreographers). Next, we collect a dataset of performances and we evaluate the perception of the chosen quality. Finally, we propose a computational model to detect the presence of the quality in a movement segment and we compare the outcomes of the model with the evaluation results. In the proposed on-going work, we apply this approach to a specific quality of movement: Fluidity. The proposed methods and models may have several applications, e.g., in emotion detection from full-body movement, interactive training of motor skills, rehabilitation.
2016
Conference on human factors in computing systems - proceedings
New York, NY
Association for Computing Machinery
9781450340823
Movement fluidity analysis based on performance and perception / Piana, S.; Niewiadomski, R.; Volpe, G.; Alborno, P.; Mancini, M.; Camurri, A.. - ELETTRONICO. - (2016), pp. 1629-1636. (Intervento presentato al convegno 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 tenutosi a San Jose Convention Center, usa nel 2016) [10.1145/2851581.2892478].
Piana, S.; Niewiadomski, R.; Volpe, G.; Alborno, P.; Mancini, M.; Camurri, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/279338
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