Revolutionizing Online Dance Classes with Array Signal Processing for Enhanced Learning
Highly critical for the dancer's physical and artistic well-being to execute jumps precisely. Achieving greater height, skin orientation, and uniformity begins with learning the skill of appropriate spring off the ground. Dancing benefits people of all ages, shapes, and sizes because it improves social skills and boosts overall wellness. Among the numerous benefits include enhanced cardiovascular and respiratory health, increased strength and flexibility, improved muscular tone and strength, and higher levels of aerobic fitness. Training requires a great deal of energy and perseverance from the trainee. Injuries are unavoidable and, if they occur frequently enough, can end a dancer's career. Dancing can be physically demanding even if you take precautions. Performing the Dance is important during a lockdown since it can be done anywhere, including at home, and it can help enhance the art form's visibility online. The ability to coordinate one's memory, timing, spatial learning, and timekeeping systems is essential for dance. This study recommends combining online dance training with Internet-based Dance courses with Array signal processing (IDC-ASP) technology to improve dancing qualities such as timing and coordination. To offset potential detrimental repercussions of the suggested paradigm, it employs pre-existing internet resources. This results in the simulation of multiple aspects, one of which is performance. When compared to current approaches, the recommended model improves efficiency by 93.4%.
Authors
- Maki Mahdi Abdulhasan (ORCID: https://orcid.org/0000-0003-4311-086X)
- Alaa Hamid Mohammed (ORCID: https://orcid.org/0000-0001-5197-492X)
- Hajar Kadhim (ORCID: https://orcid.org/0000-0003-3939-9306)
- Abdul Rahman H Ali (ORCID: https://orcid.org/0000-0002-1129-5655)
- Azad Salh Nader
Institutions
- University of Kirkuk (IQ)
- Al-Nisour University College (IQ)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/iccies63851.2025.11032446
- Primary Topic
- Human Motion and Animation
- Type
- article
- Field-Weighted Citation Impact
- 0.00