Dixin Qu has a new article, Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks, published in Computational Intelligence and Neuroscience. Qu, D. (2022). Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks. Computational Intelligence and Neuroscience, 2022, 4740234. https://doi.org/10.1155/2022/4740234 Contributor: LAB:SYNC…
3D Digital Model of Folk Dance Based on Few-Shot Learning and Gesture Recognition
Ning Zhang has a new article, 3D Digital Model of Folk Dance Based on Few-Shot Learning and Gesture Recognition, published in Computational Intelligence and Neuroscience. Zhang, N. (2022). 3D Digital Model of Folk Dance Based on Few-Shot Learning and Gesture Recognition. Computational Intelligence and Neuroscience, 2022, 3682261. https://doi.org/10.1155/2022/3682261 Contributor: LAB:SYNC…
Representing Vietnamese Traditional Dances and Handling Inconsistent Information
Salem Benferhat has a new article, Representing Vietnamese Traditional Dances and Handling Inconsistent Information, published in International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Benferhat, S., Bouraoui, Z., Ma, T.-T., & Tabia, K. (2022). Representing Vietnamese Traditional Dances and Handling Inconsistent Information. In D. Ciucci, I. Couso, J. Medina, D. ?l?zak, D. Petturiti,…
Towards a general framework for the annotation of dance motion sequences
Katerina El Raheb has a new article, Towards a general framework for the annotation of dance motion sequences, published in Multimedia Tools and Applications. el Raheb, K., Buccoli, M., Zanoni, M., Katifori, A., Kasomoulis, A., Sarti, A., & Ioannidis, Y. (2022). Towards a general framework for the annotation of dance motion sequences. Multimedia Tools and…
Development of Interactive Teaching of Physical Dance Based on Dynamic Time Reversion Technique
Xue Li has a new article, Development of Interactive Teaching of Physical Dance Based on Dynamic Time Reversion Technique, published in Mathematical Problems in Engineering. Li, X., & Yang, Y. (2022). Development of Interactive Teaching of Physical Dance Based on Dynamic Time Reversion Technique. Mathematical Problems in Engineering, 2022, 5697041. https://doi.org/10.1155/2022/5697041 Contributor: LAB:SYNC…
An Intelligent and Fast Dance Action Recognition Model Using Two-Dimensional Convolution Network Method
Shuai Zhang has a new article, An Intelligent and Fast Dance Action Recognition Model Using Two-Dimensional Convolution Network Method, published in Journal of Environmental and Public Health. Zhang, S. (2022). An Intelligent and Fast Dance Action Recognition Model Using Two-Dimensional Convolution Network Method. Journal of Environmental and Public Health, 2022, 4713643. https://doi.org/10.1155/2022/4713643 Contributor: LAB:SYNC…
African Diaspora Dance in Public Health: Embodied Health Practices, Embracing Health Justice, Empowering Our Community
Join the Center for Diabetes Translation Research – Solutions to Diabetes in Black Americans Core for a webinar on Thursday, June 23rd from 12-1 PM ET African Diaspora Dance in Public Health: Embodied Health Practices, Embracing Health Justice, Empowering Our Community Thursday, June 23rd from 12-1 PM ET To register, click here. Presenter: Sheila A. Ward, PhD, MPH, FACSM Affiliation: Norfolk…
Dance Science Symposium 2022 Recap
The Dance Program at the University of Massachusetts Amherst and Laboratory for the Scientific Study of Dance (LAB:SYNC) were pleased to host the Dance Science Symposium (DSS) 2022 in March. Dr. Aga Burzynska (Colorado State University), Dr. Julia Basso (Virginia Tech), and Ms. Martha Waugh (Western Sydney University) respectively presented original research on cognitive and…
“Methods and sensors for quantifying dance exposures”: A look back at the 2022 NSF workshop
This past March, Dr. Aston K. McCullough (Director, Laboratory for the Scientific Study of Dance—LAB:SYNC) represented the University of Massachusetts Amherst, the National Endowment for the Arts (NEA), and LAB:SYNC at the National Science Foundation’s (NSF) 2022 International Workshop on the Neural and Social Bases of Creative Movement at Wolf Trap National Park for the…
LAB:SYNC celebrates Dr. Pierre Rouzier
Laboratory for the Scientific Study of Dance (LAB:SYNC) joins all of the University of Massachusetts Amherst in thanking and celebrating Dr. Pierre Rouzier for his indelible contributions and dedication to health, medicine, and community at UMass. Rouzier, Director of Athletic Medicine at UMass Amherst, is the Medical Co-Investigator for the National Endowment for the Arts…