This paper reports four cases of action sensing and data analysis concerning action sports, i.e. skateboard, inline skate, and bicycle motocross (BMX). All cases employs inertial sensors with GPS to synchronize time series data collected from the independent multiple sensors on parts of athlete's body. All the cases also define similarity to classify running data and to identify important factors for successful maneuver. The first case is related to identification of types of sports and skill levels on halfpipe. The second case is also related to identification problem on big air ramp. The third case analyzed aerial maneuvers of skateboard on halfpipe in detail. The forth case identified important factors of incremental training to make successful aerial maneuvers.

There are various work processes in care facilities. Such variations are caused by preferences and physiological state of aged person, skill which each care worker has, and an environment in the care facility. Under the situation, sharing the appropriate knowledge of care processes is important to improve the skill of each care worker and educate new comer. In this study, we proposed the method for knowledge acquisition of various aged care processes from each care facility. It includes the way to acquire the common knowledge among the facilities and the way to acquire the focused knowledge in particular facility. We tried the methodology based on workshop technology with two care facilities.