It is essential to objectively grasp and manage one's own health condition, in order to extend healthy life expectancy in Japan, which has the highest aging population in the world. Disorders of locomotive organs (locomotive syndrome) are the first cause of long-term care insurance, accounting for approximately one-fourth. Furthermore, exercise habits are closely related to lifestyle diseases and frailty, other main causes of long-term care insurance. Therefore, it is desirable for people to grasp and manage their own exercise/daily activities and the condition of their locomotor organs. For medical professional, since the scope of intervention at the hospital is limited, it would be of great help to provide better medical care and treatment, if they can utilize objective individual's everyday activity status and the parameters for evaluating the musculoskeletal organs. However, there are many problems for implementation. For example, although many applications have been developed recently, it is necessary to demonstrate long-term effectiveness with evidence since the most clinically relevant problem is the exercise adherence. Additionally, we have to choose proper evaluation parameters among huge possibilities, consistent with our purpose. Furthermore, we should consider how to aggregate and integrate the huge amount of data, meeting our objectives, generated from devices such as accelerometers /motion captures. What is the most ideal approach, including technical aspects, to finally connect health data related to everyday activities and parameters of musculoskeletal organs to medical care? In this presentation, from the perspective of exercise and locomotive organs, we will examine the effect measurement necessary for health promotion and disease prevention.