Automated Detection of Impulsive Movements in HCI

This paper introduces an algorithm for automatically mea-suring impulsivity. This can be used as a major expressive movement feature in the development of systems for real-time analysis of emotion expression from human full-body movement, a research area which has received increased at-tention in the affective computing community. In particu-lar, our algorithm is developed in the framework of the EU-H2020-ICT Project DANCE aiming at investigating tech-niques 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 ap-plying 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. CCS Concepts •Human-centered computing→User models; •Applied computing → Performing arts