This summer, the dance science community published a number of ground-breaking new studies, with 39 articles on dance, science, health and technology featured on gravity!
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, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 379–393). Springer International Publishing. https://doi.org/10.1007/978-3-031-08974-9_30
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 and Data Communication Systems (IcABCD), 1–6. https://doi.org/10.1109/icABCD54961.2022.9856109
Carroll, S. J., Dale, M. J., & Bail, K. (2022). “Out and proud…. in all your shaking glory” the wellbeing impact of a dance program with public dance performance for people with Parkinson’s disease: a qualitative study. Disability and Rehabilitation, 1–12. https://doi.org/10.1080/09638288.2022.2122598
Chipperfield, S. R., & Bissell, P. (2022). “I Hear the Music and My Spirits Lift!” Pleasure and Ballroom Dancing for Community-Dwelling Older Adults. Journal of Aging and Physical Activity, 1–13. https://doi.org/10.1123/japa.2021-0332
Choudhury, S., & Chowdhury, A. (2022). Learning Indian Classical Dance Forms with the Help of Augmented Reality (AR) Application. In D. Chakrabarti, S. Karmakar, & U. R. Salve (Eds.), Ergonomics for Design and Innovation (pp. 593–604). Springer International Publishing. https://doi.org/10.1007/978-3-030-94277-9_51
Coirolo, N., Casaravilla, C., Tassino, B., & Silva, A. (2022). Evaluation of environmental, social, and behavioral modulations of the circadian phase of dancers trained in shifts. IScience, 25(7), 104676. https://doi.org/https://doi.org/10.1016/j.isci.2022.104676
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 Applications. https://doi.org/10.1007/s11042-022-12602-y
Escobar-Álvarez, J. A., Jiménez-Reyes, P., da Conceição, F. A., & Fuentes-García, J. P. (2022). Effect of Supplementary Physical Training on Vertical Jump Height in Professional Ballet Dancers. International Journal of Sports Physiology and Performance, 17(8), 1257–1263. https://doi.org/10.1123/ijspp.2021-0513
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 professional ballet dancers using a wellness monitoring application. Qualitative Research in Sport, Exercise and Health, 1–17. https://doi.org/10.1080/2159676X.2022.2111456
Hickman, B., Pourkazemi, F., Pebdani, R. N., Hiller, C. E., & Fong Yan, A. (2022). Dance for Chronic Pain Conditions: A Systematic Review. Pain Medicine, pnac092. https://doi.org/10.1093/pm/pnac092
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
Kouloutbani, K., Venetsanou F., Karteroliotis, K. (2021). Dance Interventions as Non-Pharmacological Strategiesfor the Treatment of Dementia and Mild Cognitive Impairment. International Journal of Humanities and Social Science, 11(10), 49–58.
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
Lin, C. Kaplan, S., Wilson, P., & Thompson, S. (2022). Dancing for Enhancing Mood: Benefits for Adolescents on a Pediatric Behavioral Health Unit. American Journal of Recreation Therapy, 21(2). https://doi.org/10.5055/ajrt.2022.0258
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
Lopez-Nieves, I., & Jakobsche, C. E. (2022). Biomolecular Effects of Dance and Dance/Movement Therapy: A Review. American Journal of Dance Therapy. https://doi.org/10.1007/s10465-022-09368-z
Ma, X., & Wang, K. (2022). Dance Action Generation Model Based on Recurrent Neural Network. Mathematical Problems in Engineering, 2022, 8455961. https://doi.org/10.1155/2022/8455961
Milne, M. J., & Neely, K. C. (2022). Exploring female dancer’s emotions and coping experiences following deselection: An interpretative phenomenological analysis. Psychology of Sport and Exercise, 63, 102289. https://doi.org/https://doi.org/10.1016/j.psychsport.2022.102289
Napier, E., Gray, G., & Oore, S. (2022). Spectral Analysis for Dance Movement Query and Interpolation. Proceedings of the 8th International Conference on Movement and Computing. https://doi.org/10.1145/3537972.3537995
Odefunso, A. E., Bravo, E. G., & Chen, Y. v. (2022). Traditional African Dances Preservation Using Deep Learning Techniques. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 5(4), 1–11. https://doi.org/10.1145/3533608
Otterbein, R., Jochum, E., Overholt, D., Bai, S., & Dalsgaard, A. (2022). Dance and Movement-Led Research for Designing and Evaluating Wearable Human-Computer Interfaces. Proceedings of the 8th International Conference on Movement and Computing. https://doi.org/10.1145/3537972.3537984
Paloschi, D., Cigada, M., Ballone, S., de Bartolomeo, O., Cigada, A., & Saccomandi, P. (2022). Analysis on the plié and grand plié in classical ballet with magneto-inertial measurement units. 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), 44–48. https://doi.org/10.1109/MetroInd4.0IoT54413.2022.9831587
Parks, A., Gosselin, S., & Goetschius, J. (2022). Instrumented measures of postural control in college dancers with and without chronic ankle instability. Physical Therapy in Sport, 58, 41–45. https://doi.org/https://doi.org/10.1016/j.ptsp.2022.09.001
Pinnelli, M., Pulcinelli, M., Carnevale, A., Tocco, J. di, Massaroni, C., Schena, E., Longo, U. G., & Denaro, V. (2022). A Wearable System for Detecting Lumbar Hyperlordosis in Ballet Dancers: Design, Development and Feasibility Assessment. 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), 277–282. https://doi.org/10.1109/MetroInd4.0IoT54413.2022.9831688
Prus, D., Mijatovic, D., Hadzic, V., Ostojic, D., Versic, S., Zenic, N., Jezdimirovic, T., Drid, P., & Zaletel, P. (2022). (Low) Energy Availability and Its Association with Injury Occurrence in Competitive Dance: Cross-Sectional Analysis in Female Dancers. Medicina, 58(7), 853. https://doi.org/10.3390/medicina58070853
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
Raj, R. J., Dharan, S., & Sunil, T. T. (2022). Optimal feature selection and classification of Indian classical dance hand gesture dataset. The Visual Computer. https://doi.org/10.1007/s00371-022-02572-5
Rajko, J. (2022). Geocultural Precarities in Canonizing Computing Research Involving Dance: The Effects of Treating Western, EuroAmerican Concert Dance as Universally Applicable across Geoculturally Diverse Movement Computing Research Efforts. Proceedings of the 8th International Conference on Movement and Computing. https://doi.org/10.1145/3537972.3537988
Rani, M. C. J., & Devarakonda, Dr. N. (2022). An Effectual Classical Dance Pose Estimation and Classification System Employing Convolution Neural Network –Long ShortTerm Memory (CNN-LSTM) Network for Video Sequences. Microprocessors and Microsystems, 104651. https://doi.org/https://doi.org/10.1016/j.micpro.2022.104651
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 Data Analytics (pp. 241–255). Springer Nature Singapore. https://doi.org/https://doi.org/10.1007/978-981-19-3391-2_18
Shaffer, J. (2022). Enhancing Neuroplasticity Is Urgent: Music and Dance for the UN/WHO Decade of Action for Healthy Ageing for All. Journal of Ageing and Longevity, 2(3), 178–192. https://doi.org/10.3390/jal2030015
Shi, Y. (2022). Stage Performance Characteristics of Minority Dance Based on Human Motion Recognition. Mobile Information Systems, 2022, 1940218. https://doi.org/10.1155/2022/1940218
Tian, J., & Yang, X. (2022). Dance Movement Recognition Based on Modified GMM-Based Motion Target Detection Algorithm. Security and Communication Networks, 2022, 6023784. https://doi.org/10.1155/2022/6023784
Tsuchida, S., Mao, H., Okamoto, H., Suzuki, Y., Kanada, R., Hori, T., Terada, T., & Tsukamoto, M. (2022). Dance Practice System That Shows What You Would Look Like If You Could Master the Dance. Proceedings of the 8th International Conference on Movement and Computing. https://doi.org/10.1145/3537972.3537991
Wu, X., Lu, X., Zhang, H., Wang, X., Kong, Y., & Hu, L. (2022). The association between ballroom dance training and empathic concern: Behavioral and brain evidence. Human Brain Mapping. https://doi.org/10.1002/hbm.26042
Zhang, L. (2022). Improved Graph Convolutional Neural Network for Dance Tracking and Pose Estimation. Computational Intelligence and Neuroscience, 2022, 7133491. https://doi.org/10.1155/2022/7133491
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
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
Zhang, Y. (2022). Application of Response Surface Methodology in Dance Health and Training Safety. Mathematical Problems in Engineering, 2022, 9818664. https://doi.org/10.1155/2022/9818664