gravity Volume 1, Issue 2: publication highlights

Publications featured in gravity Volume 1, Issue 2 (June 19, 2021)

A number of exciting papers have been published this spring in the field of dance science. Here are just a few highlights that the LAB:SYNC team wanted to share:

Note: Asterisk (*) indicates the author has been a Dance Science Symposium presenter

*Seifert, A.M.; Mullin, E.M.; Zehnder, S.; Paolone, V.J. Development and Validation of a Functional Capacity Test for Collegiate DancersJ. Danc. Med. Sci.  Off. Publ. Int.  Assoc. Danc. Med. Sci. 2021, 25, 131–138.

*Fontanesi, C.; DeSouza, J.F.X. Beauty That Moves: Dance for Parkinson’s Effects on Affect, Self-Efficacy, Gait Symmetry, and Dual Task Performance. Front. Psychol. 2021, 11, 3896.

Lo, S.H.S.; Chau, J.P.C.; Choi, K.C.; Yeung, J.; Li, S.H.; Demers, M. Feasibility of a ballet-inspired low-impact at-home workout programme for adults with stroke: a mixed-methods exploratory study protocol. BMJ Open 2021, 11, e045064.

Moratelli, J.; Alexandre, K.H.; Boing, L.; Swarowsky, A.; Corrêa, C.L.; Coutinho de Azevedo Guimarães, A. Binary dance rhythm or Quaternary dance rhythm which has the greatest effect on non-motor symptoms of individuals with Parkinson’s disease? Complement. Ther. Clin. Pract. 2021, 101348.

Kaholokula, J.K.; Look, M.; Mabellos, T.; Ahn, H.J.; Choi, S.Y.; Sinclair, K.A.; Wills, T.A.; Seto, T.B.; de Silva, M.; Project, K.-H. A Cultural Dance Program Improves Hypertension Control and Cardiovascular Disease Risk in Native Hawaiians: A Randomized Controlled Trial. Ann. Behav. Med. 2021.

Long, K.L.; Milidonis, M.K.; Wildermuth, V.L.; Kruse, A.N.; Parham, U.T. The Impact of Dance-Specific Neuromuscular Conditioning and Injury Prevention Training on Motor Control, Stability, Balance, Function and Injury in Professional Ballet Dancers: A Mixed-Methods Quasi-Experimental Study. Int. J. Sports Phys. Ther. 2021, 16, 404–417.

Naik, A.D.; Supriya, M. Classification of Indian Classical Dance 3D Point Cloud Data Using Geometric Deep Learning BT  – Computational Vision and Bio-Inspired Computing.; Smys, S., Tavares, J.M.R.S., Bestak, R., Shi, F., Eds.; Springer Singapore: Singapore, 2021; pp. 81–93.       

Zhu, M. Dance Basic Training Methods Based on Motion Capture Technology. In Proceedings of the 2021 2nd International Conference on Computers, Information Processing and Advanced Education; Association for Computing Machinery: New York, NY, USA, 2021; pp. 1278–1281.

Maharaj-Pariagsingh, L.; Mohammed, P.S. DanceTutor: An ITS for Coaching Novice Ballet Dancers Using Pose Recognition of Whole-Body Movements BT  – Artificial Intelligence in Education.; Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V., Eds.; Springer International Publishing: Cham, 2021; pp. 262–266.

Moulder, S.; Armstrong, R.; Greig, M.; Brogden, C. Effect of Kinesiology Tape on Tri-Axial Accelerometry During the Dance Aerobic  Fitness Test. J. Danc. Med. Sci.  Off. Publ. Int.  Assoc. Danc. Med. Sci. 2021.

Raheb, K. El; Stergiou, M.; Katifori, A.; Ioannidis, Y. Moving in the Cube: A Motion-Based Playful Experience for Introducing Labanotation to Beginners. J. Comput. Cult. Herit. 2021, 14.

Griadhi, I.P.A.; Adiatmika, I.P.G.; Tirtayasa, I.K. Traditional Lègong Dance Training Is Superior to Moderate Aerobic Training on  Physical Fitness Improvement Among Young Girls. J. Phys. Act. Health 2021, 1–6.

Shailesh, S.; Judy, M. V Capsule Networks for Classifying Conflicting Double-Handed Classical Dance Gestures BT  – Data Engineering and Communication Technology.; Reddy, K.A., Devi, B.R., George, B., Raju, K.S., Eds.; Springer Singapore: Singapore, 2021; pp. 29–37.

Balbim, G.M.; Aguiñaga, S.; Ajilore, O.A.; Bustamante, E.E.; Erickson, K.I.; Lamar, M.; Marquez, D.X. The Effects of the BAILAMOSTM Dance Program on Physical Activity Levels and Cognition of Older Latino Adults: A Pilot Study. J. Aging Health 2021, 08982643211020996.

Patterson-Price, J.; Pass, A. “Not for Serious Purpose”: Discrepancy between Parent and Child Motivation for Participation in a Community Dance Program. J. Danc. Educ. 2021, 1–9.

?ucznik, K.; May, J. Measuring individual and group flow in collaborative improvisational dance. Think. Ski. Creat. 2021, 40, 100847.

Gorwa, J.; Michnik, R.; Nowakowska-Lipiec, K. In Pursuit of the Perfect Dancer’s Ballet Foot. The Footprint, Stabilometric, Pedobarographic Parameters of Professional Ballet Dancers. Biology (Basel). 2021, 10, 435.

Zhou, Q.; Chua, C.C.; Knibbe, J.; Goncalves, J.; Velloso, E. Dance and Choreography in HCI: A Two-Decade Retrospective. In Proceedings of the Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems; Association for Computing Machinery: New York, NY, USA, 2021.

Alaoui, S.F.; Matos, J.-M. RCO?: Investigating Social and Technological Constraints through Interactive Dance. In Proceedings of the Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems; Association for Computing Machinery: New York, NY, USA, 2021.

Rodrigues-Krause, J.; dos Santos, G.C.; Krause, M.; Reischak-Oliveira, A. Dancing at Home During Quarantine: Considerations for Session Structure, Aerobic Fitness, and Safety. J. Phys. Educ. Recreat. Danc. 2021, 92, 22–32.

Zhai, X. Dance Movement Recognition Based on Feature Expression and Attribute Mining. Complexity 2021, 2021, 9935900.

Kelly, M.P.; Leventhal, D. Dance as Lifeline: Transforming Means for Engagement and Connection in Times of Social Isolation. Health Promot. Pract. 2021, 22, 64S-69S.

Fausto, B.A.; Azimipour, S.; Charles, L.; Yarborough, C.; Grullon, K.; Hokett, E.; Duberstein, P.R.; Gluck, M.A. Cardio-Dance Exercise to Improve Cognition and Mood in Older African Americans: A Propensity-Matched Cohort Study. J. Appl. Gerontol. 2021, 07334648211010580.

Mindoro, J.N.; Festijo, E.D.; Guzman, M.T.G. de The Investigation of Drift and Drift Removal in Markerless Motion Capture Suit in Preparation for Cultural (Aeta) Dance Classification. In Proceedings of the 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE); 2021; pp. 80–85.

Mindoro, J.N.; Festijo, E.D.; Guzman, M.T.G. de A Comparative Study of Deep Transfer Learning Techniques for Cultural (Aeta) Dance Classification utilizing Skeleton-Based Choreographic Motion Capture Data. In Proceedings of the 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE); 2021; pp. 74–79.

Marinkovic, D.; Belic, A.; Marijanac, A.; Martin-Wylie, E.; Madic, D.; Obradovic, B. Static and dynamic postural stability of children girls engaged in modern danceEur. J. Sport Sci. 2021, 1–6.

Coogan, S.M.; Dhokai, N.; Baraniecki-Zwil, G.; Glass, E.; Ambegaonkar, J.P. Motivation and Determinants for Successful Engagement among Community-Dwelling Older Adults Participating in a Ballroom Dance ProgramJ. Danc. Educ. 2021, 1–11.

Basso, J.C.; Satyal, M.K.; Rugh, R. Dance on the Brain: Enhancing Intra- and Inter-Brain SynchronyFront. Hum. Neurosci. 2021, 14, 586.

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