This fall, the dance science community published a number of ground-breaking new studies, with 24 articles on dance, science, health and technology featured on gravity!
Alfiero, C. J., Brown, A. F., Chun, Y., Holmes, A., & Bailey, J. P. (2022). The Effect of Foot Position and Lean Mass on Jumping and Landing Mechanics in Collegiate Dancers. Journal of Applied Biomechanics, 1–7. https://doi.org/10.1123/jab.2021-0319
Bánkyné Perjés, B., Mátrai, G., Nagy, B., Erdei, D., Makai, A., Prémusz, V., Kovács, K. A., & Bódis, J. (2022). Prenatal dance activity enhances foetal and postnatal cognitive and motor development. Physiology International. https://doi.org/10.1556/2060.2022.00121
Bek, J., Leventhal, D., Groves, M., Growcott, C., & Poliakoff, E. (2022). Moving online: Experiences and potential benefits of digital dance for older adults and people with Parkinson’s disease. PLOS ONE, 17(11), e0277645-. https://doi.org/10.1371/journal.pone.0277645
Blanco-Rambo, E., Izquierdo, M., & Cadore, E. L. (2022). Dance as an Intervention to Improve Physical and Cognitive Functioning in Older Adults. The Journal of Nutrition, Health & Aging. https://doi.org/10.1007/s12603-022-1873-x
Blumen, H. M., Ayers, E., Wang, C., Ambrose, A. F., Jayakody, O., & Verghese, J. (2022). Randomized Controlled Trial of Social Ballroom Dancing and Treadmill Walking: Preliminary Findings on Executive Function and Neuroplasticity From Dementia-at-Risk Older Adults. Journal of Aging and Physical Activity, 1–11. https://doi.org/10.1123/japa.2022-0176
Carapellotti, A. M., Meijerink, H. (J. E. M. ), Gravemaker-Scott, C., Thielman, L., Kool, R., Lewin, N., & Abma, T. A. (2023). Escape, expand, embrace: the transformational lived experience of rediscovering the self and the other while dancing with Parkinson’s or Multiple Sclerosis. International Journal of Qualitative Studies on Health and Well-Being, 18(1), 2143611. https://doi.org/10.1080/17482631.2022.2143611
Chen, J., & Chen, L. (2022). Movement Evaluation Algorithm-Based Form Tracking Technology and Optimal Control of Limbs for Dancers. Mathematical Problems in Engineering, 2022, 7749324. https://doi.org/10.1155/2022/7749324
Chichinina, E., Bukhalenkova, D., Tvardovskaya, A., Semyonov, Y., Gavrilova, M., & Almazova, O. (2022). The Relationship between Executive Functions and Dance Classes in Preschool Age Children. Education Sciences, 12(11), 788. https://doi.org/10.3390/educsci12110788
Engdahl, C., Lundvall, S., & Barker, D. (2022). Dancing as searching with Deleuze – a study of what students in physical education teacher education express and experience in creative dance lessons. Research in Dance Education, 1–16. https://doi.org/10.1080/14647893.2022.2144195
German-Molina, L., Caballero-Julia, D., & Cuellar-Moreno, M. (2022). Dance as a tool for managing emotions. A systematic review. Research in Dance Education, 1–12. https://doi.org/10.1080/14647893.2022.2144200
Han, Y., & Mojtahe, K. (2022). Intelligent Action Recognition and Dance Motion Optimization Based on Multi-Threshold Image Segmentation. Mobile Information Systems, 2022, 5776642. https://doi.org/10.1155/2022/5776642
Jisha Raj, R., Dharan, S., & Sunil, T. T. (2022). Systematic Approach to Tuning a Deep CNN Classifying Bharatanatyam Mudras. In U. Mudenagudi, A. Nigam, R. K. Sarvadevabhatla, & A. Choudhary (Eds.), Proceedings of the Satellite Workshops of ICVGIP 2021 (pp. 3–23). Springer Nature Singapore.
Jola, C., Sundström, M., & McLeod, J. (2022). Benefits of dance for Parkinson’s: The music, the moves, and the company. PLOS ONE, 17(11), e0265921-. https://doi.org/10.1371/journal.pone.0265921
Kaya, M., Gurses, H. N., Ucgun, H., & Okyaltirik, F. (2023). Effects of creative dance on functional capacity, pulmonary function, balance, and cognition in COPD patients: A randomized controlled trial. Heart & Lung, 58, 13–20. https://doi.org/https://doi.org/10.1016/j.hrtlng.2022.10.017
Lykesas, G., Chatzopoulos, D., ?eratzoula, V., Nikolaki, E., Douka, S., & Bakirtzoglou, P. (2022). Reviewing Available Online Publications on the Effect of Dance on the Physical and Mental Health of Children and Adolescents. Central European Journal of Sport Sciences and Medicine, 39, 17–26. https://doi.org/10.18276/cej.2022.3-02
Lyu, Y., & Zhang, C. (2022). A new frog leaping algorithm-oriented fully convolutional neural network for dance motion object saliency detection. Computer Science and Information Systems, 35. https://doi.org/10.2298/CSIS220320035L
Martin-Wylie, E., Urmston, E., & Redding, E. (2022). Impact of creative dance on subjective well-being amongst older adults: an arts-informed photo-elicitation study. Arts & Health, 1–17. https://doi.org/10.1080/17533015.2022.2156562
Risner, D., & Marlow, C. (2022). Male dance educators living with/through cancer: duoethnographies on disease and dis-ease. Research in Dance Education, 1–19. https://doi.org/10.1080/14647893.2022.2131758
Shackleton, C., Samejima, S., Miller, T., Hosseinzadeh, A., Lee, A. H. X., Sachdeva, R., Nightingale, T. E., & Krassioukov, A. v. (2022). May I Have This Dance: A Case-Series on the Acute Cardiometabolic Demand of Wheelchair Dancing in Recreational Dancers with Spinal Cord Injury. Medical Problems of Performing Artists, 37(4), 269–277. https://doi.org/10.21091/mppa.2022.4035
Shao, H. (2022). Recognition and Prediction Method of Music and Dance Movements Based on G-ResNet SPP and Attention Mechanism. Mobile Information Systems, 2022, 1–9. https://doi.org/10.1155/2022/1763262
Simpkins, C., & Yang, F. (2022). Do dance style and intervention duration matter in improving balance among people with Parkinson’s disease? A systematic review with meta-analysis. Parkinsonism & Related Disorders, 105231. https://doi.org/https://doi.org/10.1016/j.parkreldis.2022.105231
Subramaniam, S., Wang, E., & Bhatt, T. (2022). A survey to assess customized safety harness for home-based dance training in patients with chronic stroke. PM&R, n/a(n/a). https://doi.org/https://doi.org/10.1002/pmrj.12929
Sun, K. (2022). Research on Dance Motion Capture Technology for Visualization Requirements. Scientific Programming, 2022, 1–8. https://doi.org/10.1155/2022/2062791
Zakry, K., Hipiny, I., & Ujir, H. (2023). Classification of dances using AlexNet, ResNet18 and SqueezeNet1_0. IAES International Journal of Artificial Intelligence (IJ-AI), 12, 602–609. https://doi.org/10.11591/ijai.v12.i2.pp602-609