In recent years, the use of wearable devices, designed for monitoring the psycho-physical state of the user over time, has undergone a growing trend in the industrial field. The ability to monitor parameters, such as heart rate, electroencephalography, and motion activity, allows the identification of different states of the operator, such as stress, physical fatigue, or the level of attention. Therefore, these devices have the potential for use in working environments. This study investigated the possibility of using wearable wrist devices for optimal management of work breaks. Thanks to the monitoring of the operator's status in terms of heart rate, number of steps, and time, the scheduling of work breaks can be based on the real physiological needs of the operators rather than a fixed schedule. A preliminary conceptual and practical model was developed, and a series of experimental campaigns were presented to illustrate its functioning and potentialities.