Imagine trying to predict someone’s dance moves based only on a diagram of their skeleton. That’s exactly what researchers are doing in the field of computer vision and multimedia analysis. By using 3D skeleton data, which captures the essential points of a person’s body movement, scientists are developing techniques to forecast human motion. This research combines various disciplines like image processing, pattern recognition, and artificial intelligence. In the past, most studies focused on traditional RGB data, but recent advancements have brought about the fusion of human skeleton data and deep learning methods, yielding promising results. This survey not only dives into the background and significance of human motion prediction but also provides an overview of the latest deep learning-based techniques for predicting human motion. The survey concludes with a comprehensive review of relevant papers and an exciting discussion on future development in this fascinating field.
Human motion prediction based on 3D skeleton data is an active research topic in computer vision and multimedia analysis, which involves many disciplines, such as image processing, pattern recognition, and artificial intelligence. As an effective representation of human motion, human 3D skeleton data is favored by researchers because it provide resistant to light effects, scene changes, etc. earlier studies on human motion prediction focuses mainly on RBG data-based techniques. In recent years, researchers have proposed the fusion of human skeleton data and depth learning methods for human motion prediction and achieved good results. We first introduced human motion prediction research background and significance in this survey. We then summarized the latest deep learning-based techniques for predicting human motion in recent years. Finally, a detailed paper review and future development discussion are provided.
Dr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the untapped potential of the human mind, Dr. Lowemann has dedicated his career to pushing the boundaries of human capabilities and understanding.
Armed with a Master of Science degree and a Ph.D. in his field, Dr. Lowemann has consistently been at the forefront of research and innovation, delving into ways to optimize human performance, cognition, and overall well-being. His work at the Institute revolves around a profound commitment to harnessing cutting-edge science and technology to help individuals lead more fulfilling and intelligent lives.
Dr. Lowemann’s influence extends to the educational platform BetterSmarter.me, where he shares his insights, findings, and personal development strategies with a broader audience. His ongoing mission is shaping the way we perceive and leverage the vast capacities of the human mind, offering invaluable contributions to society’s overall success and collective well-being.