After a stroke, two thirds of patients underuse their paretic upper limb, even though clinical evaluations indicate that they can use it. To better understand what patients really do in daily life, it is possible to quantify the overall amount of activity and the use-ratio between both UL with wrist worn accelerometers (Lang et al., 2017). However, to date, this approach stays silent about the nature of UL activities, even though this information is crucial for therapeutic decisions. Here, our long-term goal is to individualize home-based post-stroke rehabilitation based on continuous accelerometric monitoring and artificial intelligence methods to estimate the nature and amount of functional UL movements in daily life. We adopt a three-steps process: 1◦define accelerometric references in healthy people, 2◦define patient specific accelerometric profiles and 3◦individualize of the nature and dose of rehabilitation based on 1 and 2. Objective: Here, we address step 1: to provide reference accelerometric profiles for typical daily life movements among healthy volunteers.