Share your research at the Dance Science Symposium 2023

The Dance Science Symposium 2023 will be held at the University of Massachusetts Amherst on the 22nd of April 2023. To be considered as a featured presenter at next year’s symposium, submit your research abstract today! Abstract submissions will be accepted through December 22nd, 2022 at 11:59pm ET. To submit your DSS 2023 research abstract, […]

Dance-Specific Action Recognition Method Based on Double-Stream CNN in Complex Environment

Yan Jin has a new article, Dance-Specific Action Recognition Method Based on Double-Stream CNN in Complex Environment, published in Journal of Environmental and Public Health. Jin, Y. (2022). Dance-Specific Action Recognition Method Based on Double-Stream CNN in Complex Environment. Journal of Environmental and Public Health, 2022, 9327277. https://doi.org/10.1155/2022/9327277 Contributor: LAB:SYNC

Context-based Data Augmentation for Improved Ballet Pose Recognition

Margaux Bowditch has a new article, Context-based Data Augmentation for Improved Ballet Pose Recognition, published in IEEE International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). Bowditch, M., & Haar, D. van der. (2022). Context-based Data Augmentation for Improved Ballet Pose Recognition. 2022 International Conference on Artificial Intelligence, Big Data, Computing […]

Indian Classical Dance Forms Classification Using Transfer Learning

Challapalli Jhansi Rani has a new article, Indian Classical Dance Forms Classification Using Transfer Learning, published in Computational Intelligence and Data Analytics. Rani, C. J., & Devarakonda, N. (2023). Indian Classical Dance Forms Classification Using Transfer Learning. In R. Buyya, S. M. Hernandez, R. M. R. Kovvur, & T. H. Sarma (Eds.), Computational Intelligence and […]

An exploration of the perceptions and experiences of professional ballet dancers using a wellness monitoring application

Carly Harrison has a new article, An exploration of the perceptions and experiences of professional ballet dancers using a wellness monitoring application, published in Qualitative Research in Sport, Exercise and Health. Harrison, C., Ruddock-Hudson, M., Mayes, S., O’Halloran, P., Ferrar, K., Ruddock, S., & Cook, J. (2022). An exploration of the perceptions and experiences of […]

Dance Movement Recognition Based on Multimodal Environmental Monitoring Data

Xiao Lei Liu has a new article, Dance Movement Recognition Based on Multimodal Environmental Monitoring Data, published in Journal of Environmental and Public Health. Liu, X. L. (2022). Dance Movement Recognition Based on Multimodal Environmental Monitoring Data. Journal of Environmental and Public Health, 2022, 1568930. https://doi.org/10.1155/2022/1568930 Contributor: LAB:SYNC

A Wearable System for Detecting Lumbar Hyperlordosis in Ballet Dancers: Design, Development and Feasibility Assessment

Mariangela Pinnelli has a new article, A Wearable System for Detecting Lumbar Hyperlordosis in Ballet Dancers: Design, Development and Feasibility Assessment, published in 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT. Pinnelli, M., Pulcinelli, M., Carnevale, A., Tocco, J. di, Massaroni, C., Schena, E., Longo, U. G., & Denaro, V. (2022). A […]

“My Body, My Rhythm, My Voice”: a community dance pilot intervention engaging breast cancer survivors in physical activity in a middle-income country

Maria Alejandra Rubio has a new article, “My Body, My Rhythm, My Voice”: a community dance pilot intervention engaging breast cancer survivors in physical activity in a middle-income country, published in Pilot and Feasibility Studies. Rubio, M. A., Mejía-Arbeláez, C., Wilches-Mogollon, M., Moreno, S., Finck, C., Rosas, L., Romero, S., Guevara, P., Cabas, S., Rubiano, […]

Designing Interactive Visuals for Dance from Body Maps: Machine Learning and Composite Animation Approaches

Nuno N. Correia has a new article, Designing Interactive Visuals for Dance from Body Maps: Machine Learning and Composite Animation Approaches, published in DIS ’22: Designing Interactive Systems Conference. Correia, N. N., Masu, R., Primett, W., Jürgens, S., Feitsch, J., & da Silva, H. (2022). Designing Interactive Visuals for Dance from Body Maps: Machine Learning […]

Identification Model of Writhing Posture of Classical Dance Based on Motion Capture Technology and Few-Shot Learning

Ning Zhang has a new article, Identification Model of Writhing Posture of Classical Dance Based on Motion Capture Technology and Few-Shot Learning, published in Computational Intelligence and Neuroscience. Zhang, N. (2022). Identification Model of Writhing Posture of Classical Dance Based on Motion Capture Technology and Few-Shot Learning. Computational Intelligence and Neuroscience, 2022, 8239905. https://doi.org/10.1155/2022/8239905 Contributor: […]