![]() ![]() ![]() In, the authors present dance pose sequences similarity estimation.Īnother segment of approaches relies on signals obtained from a Kinect device. ![]() ![]() Using the body posture parameters, signals are temporally segmented, motion patterns are extracted, and motion animation in generated. In, the authors present a framework for capturing the posture of the dancer’s body. Relying on a dance move recognition technology during the creative process of producing a choreography, a professional dancer would also be able to create a transcript of the assembled moves for later reference.Ī segment of dance motion analysis approaches made so far relies on signals obtained from optical motion capture systems, incorporating multiple cameras watching the stage and usually requiring reflective markers to be positioned on the subject’s body. Additionally combining the recognised dance moves with information about the accompanying music would illuminate how the dancer interprets and responds to music. Recognising dance moves would enable further investigation and comparison of the sequences of moves, supporting overall creativity evaluation, individual style classification, and observations of differences when dancing alone, in pairs and/or in the presence of an audience. More experienced dancers would also benefit. A technological solution would benefit both the student and the instructor and would support performance assessment and progress monitoring. Providing such feedback is usually more challenging in group sessions, in which more students engage in the learning process at the same time. In addition, instructors provide their students with feedback on how their performances compare to the ideal template. These imitations are visually assessed, usually using a mirror. Namely, as one learns to dance, he or she tends to imitate performances demonstrated by instructors. A dance move recognition technology would benefit dancers engaged in the learning process. In general, it has already been reported that dancers can greatly benefit from various assistive technologies. The main motivation of the research presented is to provide a mechanism for dance move recognition in performed sequences. Following the rhythmic structure, the dancer, especially the professional, expresses his or her interpretation of music by selecting, performing, and assembling various moves in dance sequences. In addition, dancing is an activity cultivating the capacity for creative expression. In addition, the results confirm the potential of using the presented method to recognise imitated dance moves, supporting the learning process.ĭancing is an engaging physical activity that requires high levels of body control, skill, and physical fitness. The results indicate that the presented method can be used to recognise repeated dance moves and to assess the dancer’s consistency in performance. The recognition F1 scores, obtained cumulatively for all moves for different tempos, ranged from 0.87 to 0.98. We analysed 36 new dance sequences, performed by the professional and five recreational dancers, following six dance tempos, ranging from 120 bpm to 220 bpm with 20 bpm increment steps. We created a database of 15 authentic solo jazz template moves using the performances of a professional dancer dancing at 120 bpm. For experimental validation, we considered the versatile repertoire of solo jazz dance moves. The recognition is independent of the orientation of the wearable device and the tempo of dancing, which promotes the usability of the method in a wide range of everyday application scenarios. The recognition entails dance tempo estimation, temporal scaling, a wearable device orientation-invariant coordinate system transformation, and, finally, sliding correlation-based template matching. We present here a method for recognising dance moves in sequences using 3D accelerometer and gyroscope signals, acquired by a single wearable device, attached to the dancer’s leg. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |