Search results for "Motion Capture"
showing 10 items of 58 documents
Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning
2020
Machine learning has been used to accurately classify musical genre using features derived from audio signals. Musical genre, as well as lower-level audio features of music, have also been shown to...
Augmented Mirror: Interactive Augmented Reality System Based on Kinect
2011
Part 1: Long and Short Papers; International audience; In this paper we present a virtual character controlled by an actor in real time, who talks with an audience through an augmented mirror. The application, which integrates video images, the avatar and other virtual objects within an Augmented Reality system, has been implemented using a mixture of technologies: two kinect systems for motion capture, depth map and real images, a gyroscope to detect head movements, and control algorithms to manage avatar emotions.
Factors affecting peak impact force during soccer headers and implications for the mitigation of head injuries
2020
It has been documented that up to 22% of all soccer injuries are concussions. This is in part due to players purposely using their head to direct the ball during play. To provide a more complete understanding of head trauma in soccer athletes, this study characterized the effects of four soccer ball characteristics (size, inflation pressure, mass, velocity) on the resulting peak impact force as it relates to the potential for incurring neurophysiological changes. A total of six hundred trials were performed on size 4 and 5 soccer balls as well as a novel lightweight soccer ball. Impact force was measured with a force plate and ball velocity was determined using motion capture. These data we…
Exploring relationships between pianists’ body movements, their expressive intentions, and structural elements of the music
2011
Body movements during music performance have been found to be indicative of the performer’s musical intentionality, and contribute to an observer’s perception of expressive playing. This study investigates the effect of structural elements of the score, and the playing of different levels of expression on body movements during a piano performance. Pianists were required to play the same piece in four different performance conditions. Their movements were tracked by an optical motion capture system, and the comparisons that were made between specific parts of the body used, performance condition, and musical score locations were subsequently statistically examined. We found that the head an…
Synchronizing eye tracking and optical motion capture : How to bring them together
2018
Both eye tracking and motion capture technologies are nowadays frequently used in human sciences, although both technologies are usually used separately. However, measuring both eye and body movements simultaneously would offer great potential for investigating cross- modal interaction in human (e.g. music and language-related) behavior. Here we combined an Ergoneers Dikablis head mounted eye tracker with a Qualisys Oqus optical motion cap- ture system. In order to synchronize the recordings of both devices, we developed a gener- alizable solution that does not rely on any (cost-intensive) ready-made / company-provided synchronization solution. At the beginning of each recording, the partic…
The more you move, the more action you construct : a motion capture study on head and upper-torso movements in constructed action in Finnish Sign Lan…
2020
Abstract This paper investigates, with the help of motion capture data processed on corpus principles, the characteristics of head and upper-torso movements in constructed action and regular narration (i.e., signing without constructed action) in FinSL. Specifically, the paper evaluates the validity of two arguments concerning constructed action: that constructed action forms a continuum with regular narration, and that constructed action divides into three subtypes (i.e., overt, reduced, and subtle). The results presented in the paper support the first argument but not directly the second one. Because of the ambiguous position of reduced constructed action in between subtle and overt const…
Group behaviour and interpersonal synchronization to electronic dance music
2017
The present study investigates how people move and relate to each other – and to the dance music – in a club-like setting created within a motion capture laboratory. Three groups of participants (29 in total) each danced to a 10-minute-long DJ mix consisting of four tracks of electronic dance music (EDM). Two of the EDM tracks had little structural development, while the two others included a typical “break routine” in the middle of the track, consisting of three distinct passages: (a) “breakdown”, (b) “build-up” and (c) “drop”. The motion capture data show similar bodily responses for all three groups in the break routines: a sudden decrease and increase in the general quantity of motion.…
Embodiment in Electronic Dance Music: Effects of musical content and structure on body movement
2018
Electronic dance music (EDM) is music produced with the foremost aim to make people move. While research has revealed relationships between movement features and, for example, musical, emotional, or personality characteristics, systematic investigations of genre differences and specifically of EDM are rather rare. This article aims at offering insights into the embodiment of EDM from three different angles: first from a genre-comparison perspective, then by comparing different EDM stimuli with each other, and finally by investigating embodiments in one specific EDM stimulus. Sixty participants moved freely to 16 stimuli of four different genres (EDM, Latin, Funk, Jazz – four stimuli/genre)…
Dance Like Someone is Watching
2018
Although dancing often takes place in social contexts such as a club or party, previous study of such music-induced movement has focused mainly on individuals. The current study explores music-induced movement in a naturalistic dyadic context, focusing on the influence of personality, using five-factor model (FFM) traits, and trait empathy on participants’ responses to their partners. Fifty-four participants were recorded using motion capture while dancing to music excerpts alone and in dyads with three different partners, using a round-robin approach. Analysis using the Social Relations Model (SRM) suggested that the unique combination of each pair caused more variation in participants’ a…
Data Acquisition System for the Characterization of Biomechanical and Ergonomic Thresholds in Driving Vehicles
2020
Directive (EU) 2015/653 on driving licenses has involved the modification of different codes that must appear on driver&rsquo