This spring, the dance science community published a number of ground-breaking new studies, with over 40 articles on dance, science, health and technology featured on gravity!
Note: Asterisk (*) indicates the author has been a Dance Science Symposium presenter
Rugh, R., Humphries, A., Tasnim, N., & Basso, J. C.* (2022). Healing minds, moving bodies: measuring the mental health effects of online dance during the COVID-19 pandemic. Research in Dance Education, 1–21. https://doi.org/10.1080/14647893.2022.2078297
Adamczyk, J., Celka, R., Stemplewski, R., Ceynowa, K., & Maciaszek, J. (2022). Effects of Jaques–Dalcroze eurhythmics program on postural stability in elderly women. Scientific Reports, 12(1), 7073. https://doi.org/10.1038/s41598-022-11095-x
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 and Composite Animation Approaches. Designing Interactive Systems Conference, 204–216. https://doi.org/10.1145/3532106.3533467
d’Ávila Silveira, C., Kilic Afsar, O., & Fdili Alaoui, S. (2022). Wearable Choreographer: Designing Soft-Robotics for Dance Practice. Designing Interactive Systems Conference, 1581–1596. https://doi.org/10.1145/3532106.3533499
Françoise, J., Fdili Alaoui, S., & Candau, Y. (2022). CO/DA: Live-Coding Movement-Sound Interactions for Dance Improvisation. https://doi.org/10.1145/3491102.3501916
Fuller, M., Moyle, G. M., & Minett, G. (2022). Weekly injury rates within semesters of a three-year tertiary dance program, and prospective training monitoring across one semester of training: a longitudinal study. Research in Dance Education, 1–18. https://doi.org/10.1080/14647893.2022.2083594
Gau, M.-L., Ting, H. Y., Ting, J. T.-W., Peter, M., & Ibrahim, K. (2022). Sarawak Traditional Dance Motion Analysis and Comparison using Microsoft Kinect V2. Green Intelligent Systems and Applications, 2(1), 42–52. https://doi.org/10.53623/gisa.v2i1.78
Geng, J. (2022). The Collection and Recognition Method of Music and Dance Movement Based on Intelligent Sensor. Computational Intelligence and Neuroscience, 2022, 2654892. https://doi.org/10.1155/2022/2654892
Guidarini, F. C. de S., Carlos Back Giuliano, I., Latini, A. S., Borgatto, A. F., Benedetti, A. L., Christofoletti, M., de Oliveira, K. G., Wildner, L. M., & Benedetti, T. R. B. (2022). Social dancing: the relationship between physical activity at balls and neopterin in Brazilian older women. Sport Sciences for Health. https://doi.org/10.1007/s11332-022-00940-1
Guo, N., & Liu, Feng. ming. (2022). Scene Construction and Application of Panoramic Virtual Simulation in Interactive Dance Teaching Based on Artificial Intelligence Technology. Journal of Electrical and Computer Engineering, 2022, 5770385. https://doi.org/10.1155/2022/5770385
Guo, W., Craig, O., Difato, T., Oliverio, J., Santoso, M., Sonke, J., & Barmpoutis, A. (2022). AI-Driven Human Motion Classification and Analysis Using Laban Movement System. In V. G. Duffy (Ed.), Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication (pp. 201–210). Springer International Publishing. https://doi.org/10.1007/978-3-031-05890-5_16
Hendry, D., Campbell, A., Smith, A., Hopper, L., Straker, L., & O’Sullivan, P. (2022). Movement quantity and quality: How do they relate to pain and disability in dancers? PLOS ONE, 17(5), e0268444. https://doi.org/10.1371/journal.pone.0268444
Herlyssa, Nurjasmi, & Mulyati, S. (2022). Effectiveness of Belly Dance in Reducing Women’s Pain in Labor through Coupling Style. International Journal of Science and Society, 4(2). https://doi.org/10.54783/ijsoc.v4i2.453
Ho, V., Li, X., & Smith, G. D. (2022). An Exploratory Study to Assess the Impact of a Chair-Based Dance Intervention Among Older People With Depressive Symptoms in Residential Care. Topics in Geriatric Rehabilitation, 38(2). https://journals.lww.com/topicsingeriatricrehabilitation/Fulltext/2022/04000/An_Exploratory_Study_to_Assess_the_Impact_of_a.6.aspx
Hu, X., & Xu, X. (2022). Footprint Extraction and Sports Dance Action Recognition Method Based on Artificial Intelligence Distributed Edge Computing. Wireless Communications and Mobile Computing, 2022, 6246842. https://doi.org/10.1155/2022/6246842
Huang, Y., Zhang, J., Liu, S., Bao, Q., Zeng, D., Chen, Z., & Liu, W. (2022). Genre-Conditioned Long-Term 3D Dance Generation Driven by Music. ICASSP 2022 – 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4858–4862. https://doi.org/10.1109/ICASSP43922.2022.9747838
Jiang, Y., & Chen, C. (2022). Partial Differential Equation Noise Reduction Model and Fuzzy Image Processing in Optimal Application of Sports Dance Exercise Training Mode. Wireless Communications and Mobile Computing, 2022, 8733178. https://doi.org/10.1155/2022/8733178
Jin, Y. (2022). A Three-Dimensional Animation Character Dance Movement Model Based on the Edge Distance Random Matrix. Mathematical Problems in Engineering, 2022, 3212308. https://doi.org/10.1155/2022/3212308
Kang, L. (2022). A Dance Somersault Pose Recognition Model Using Multifeature Fusion Algorithm. Mobile Information Systems, 2022, 3034663. https://doi.org/10.1155/2022/3034663
Lei, P. (2022). System Design and Simulation for Square Dance Movement Monitoring Based on Machine Learning. Computational Intelligence and Neuroscience, 2022, 1994046. https://doi.org/10.1155/2022/1994046
Liu, C. , S. M. , J. Y. , J. Y. , and Z. S. (2021). Effects of Dance Interventions on Cognition, Psycho-Behavioral Symptoms, Motor Functions, and Quality of Life in Older Adult Patients With Mild Cognitive Impairment: A Meta-Analysis and Systematic Review. Frontiers in Aging Neuroscience, 13(706609), 234–237.
Lu, R. (2022). Analysis of Main Movement Characteristics of Hip Hop Dance Based on Deep Learning of Dance Movements. Computational Intelligence and Neuroscience, 2022, 6794018. https://doi.org/10.1155/2022/6794018
Marquez, D. X., Wilbur, J., Hughes, S., Wilson, R., Buchner, D. M., Berbaum, M. L., McAuley, E., Aguiñaga, S., Balbim, G. M., Vásquez, P. M., Marques, I. G., Wang, T., & Kaushal, N. (2022). BAILA: A Randomized Controlled Trial of Latin Dancing to Increase Physical Activity in Spanish-Speaking Older Latinos. Annals of Behavioral Medicine, kaac009. https://doi.org/10.1093/abm/kaac009
Matthews, T. E., Witek, M. A. G., Thibodeau, J. L. N., Vuust, P., & Penhune, V. B. (2022). Perceived Motor Synchrony With the Beat is More Strongly Related to Groove Than Measured Synchrony. Music Perception, 39(5), 423–442. https://doi.org/10.1525/mp.2022.39.5.423
Meng, H. (2022). Analysis and Evaluation on the Harmfulness of Sports Dance Based on Intelligent Computing. Wireless Communications and Mobile Computing, 2022, 7371366. https://doi.org/10.1155/2022/7371366
Meng, Y. (2022). Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision. Scientific Programming, 2022, 1126020. https://doi.org/10.1155/2022/1126020
Mohan, N., & Sunder, A. (2022). A comprehensive evaluation of brain derived neurotropic growth factor gene on Bharatnatyam dancers. Precision Medicine Research, 4(2), 6. https://doi.org/10.53388/PMR20220006
Mu, J. (2022). Pose Estimation-Assisted Dance Tracking System Based on Convolutional Neural Network. Computational Intelligence and Neuroscience, 2022, 2301395. https://doi.org/10.1155/2022/2301395
Peng, H., Li, J., Hu, H., Hu, K., Zhao, L., & Tang, C. (2022). Automatic aesthetics assessment of robotic dance motions. Robotics and Autonomous Systems, 155, 104160. https://doi.org/https://doi.org/10.1016/j.robot.2022.104160
Peng, Y. (2022). Research on Dance Teaching Based on Motion Capture System. Mathematical Problems in Engineering, 2022, 1455849. https://doi.org/10.1155/2022/1455849
Potempski, F., Sabo, A., & Patterson, K. K. (2022). Technical Note: Quantifying music-dance synchrony during salsa dancing with a deep learning-based 2D pose estimator. Journal of Biomechanics, 111178. https://doi.org/https://doi.org/10.1016/j.jbiomech.2022.111178
Rao, F. (2022). Application of Motion Capture Based on Digital Filtering Algorithm in Sports Dance Teaching. Advances in Multimedia, 2022, 6113597. https://doi.org/10.1155/2022/6113597
Ren, J., & Park, J.-K. (2022). Dynamic Recognition and Analysis of Gait Contour of Dance Movements Based on Generative Adversarial Networks. Computational Intelligence and Neuroscience, 2022, 3276696. https://doi.org/10.1155/2022/3276696
Rubio, M. A., Mejía-Arbeláez, C., Wilches-Mogollon, M., Moreno, S., Finck, C., Rosas, L., Romero, S., Guevara, P., Cabas, S., Rubiano, O., Flórez-Pregonero, A., León, J., Haile, R., Sarmiento, O., & King, A. (2022). “My Body, My Rhythm, My Voice”: a community dance pilot intervention engaging breast cancer survivors in physical activity in a middle-income country. Research Square. https://doi.org/10.21203/rs.3.rs-1188584/v1
Shailesh, S., & Judy, M. v. (2022). Understanding Dance Semantics using Spatio-Temporal Features Coupled GRU Networks. Entertainment Computing, 100484. https://doi.org/https://doi.org/10.1016/j.entcom.2022.100484
Stan?in, S., & Tomaži?, S. (2022). Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device. Sensors, 22(7), 2446. https://doi.org/10.3390/s22072446
Tao, D., Gao, Y., Li, F., Liang, W., Jiao, J., Huang, W., Supriya, R., & Baker, J. (2022). Physical Education Provision in Schools. A Role for Dance. Physical Activity and Health, 6(1), 38–41. https://doi.org/10.5334/paah.137
Thumuluri, D., Lyday, R., Babcock, P., Ip, E. H., Kraft, R. A., Laurienti, P. J., Barnstaple, R., Soriano, C. T., & Hugenschmidt, C. E. (2022). Improvisational Movement to Improve Quality of Life in Older Adults With Early-Stage Dementia: A Pilot Study. Frontiers in Sports and Active Living, 3. https://www.frontiersin.org/article/10.3389/fspor.2021.796101
Walton, E., & Mackay, W. E. (2022). Dance Transitions: What Forms of Technology Best Support Professional Dancers as They Learn New Movement Styles? CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3517448
Wang, S., & Tong, S. (2022). Analysis of high-level dance movements under deep learning and internet of things. The Journal of Supercomputing. https://doi.org/10.1007/s11227-022-04454-y
Wang, Y. (2022). Research on Dance Movement Recognition Based on Multi-Source Information. Mathematical Problems in Engineering, 2022, 5257165. https://doi.org/10.1155/2022/5257165
Wei, Y., & Huang, Z. (2022). Aesthetic Index Analysis of Fusion of Folk Martial Arts and Dance Based on Deep Learning Algorithm. Mathematical Problems in Engineering, 2022, 1176500. https://doi.org/10.1155/2022/1176500
Xu, J. (2022). Dance Movement Interference Suppression Algorithm Based upon Contour Model and AdaBoost Algorithm. Journal of Electrical and Computer Engineering, 2022, 3998449. https://doi.org/10.1155/2022/3998449
Yang, F., Wu, G., & Shan, H. (2022). Real-Time Monitoring of College Sports Dance Competition Scenes Using Deep Learning Algorithms. Wireless Communications and Mobile Computing, 2022, 1723740. https://doi.org/10.1155/2022/1723740
Yuan, X., & Pan, P. (2022). Research on the Evaluation Model of Dance Movement Recognition and Automatic Generation Based on Long Short-Term Memory. Mathematical Problems in Engineering, 2022, 6405903. https://doi.org/10.1155/2022/6405903
Zhang, L. (2022). Correction of Chinese Dance Training Movements Based on Digital Feature Recognition Technology. Mathematical Problems in Engineering, 2022, 1150051. https://doi.org/10.1155/2022/1150051
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
Zhu, L. (2022). Motion Capture and Dance Image Discrimination Based on Silent Positioning Algorithm. Computational Intelligence and Neuroscience, 2022, 1187548. https://doi.org/10.1155/2022/1187548
Zhu, Y., Gao, Y., Guo, C., Qi, M., Xiao, M., Wu, H., Ma, J., Zhong, Q., Ding, H., Zhou, Q., Ali, N., Zhou, L., Zhang, Q., Wu, T., Wang, W., Sun, C., Thabane, L., Zhang, L., & Wang, T. (2022). Effect of 3-Month Aerobic Dance on Hippocampal Volume and Cognition in Elderly People With Amnestic Mild Cognitive Impairment: A Randomized Controlled Trial. Frontiers in Aging Neuroscience, 14, 771413. https://doi.org/10.3389/fnagi.2022.771413