Recent Advancements with Human Behavior Recognition and AI in Construction Automation: A literature Review

With the rapid development of artificial intelligence (AI) and its increased application across diverse sectors, the construction industry is experiencing a transformative shift. This literature review offers an in-depth analysis of the recent advancements in human behavior recognition and its integration with AI in construction automation. Emphasizing the importance of safety, efficiency, and productivity, this review explores the diverse mechanisms through which AI interprets human behavior, fostering predictive analysis and real-time feedback. These mechanisms have resulted in the prevention of accidents, improved machinery-human coordination, and the optimization of workflows. While significant progress has been made, challenges still exist, including those related to data privacy, accuracy in complex environments, and the integration of such systems on large-scale projects. By bridging the gap between technology and on-site human activities, the evolution of AI in construction automation is not only enhancing operational efficiency but is also paving the way for a safer and more responsive construction environment.