Life rhythm analysis for elderly people has recently been paid mach attention in many countries with long life expectancy. Wireless sensors attached to a human body are considered useful in automating the life rhythm analysis. We propose a system of such a monitoring and analysis system. This system has two advantages: unconscious monitoring and continuous analysis. We receive data from a mule with wireless sensors. The mule consists of pressure sensors connected with Mica2 Motes and sensed data is analyzed to extract a user's life rhythm.