  In collaborative tasks where humans work alongside machines, the robot's
movements and behaviour can have a significant impact on the operator's safety,
health, and comfort. To address this issue, we present a multi-stereo camera
system that continuously monitors the operator's posture while they work with
the robot. This system uses a novel distributed fusion approach to assess the
operator's posture in real-time and to help avoid uncomfortable or unsafe
positions. The system adjusts the robot's movements and informs the operator of
any incorrect or potentially harmful postures, reducing the risk of accidents,
strain, and musculoskeletal disorders. The analysis is personalized, taking
into account the unique anthropometric characteristics of each operator, to
ensure optimal ergonomics. The results of our experiments show that the
proposed approach leads to improved human body postures and offers a promising
solution for enhancing the ergonomics of operators in collaborative tasks.
