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This study describes a human activity monitoring system that uses microelectromechanical systems (MEMS) sensors. The prototype system contains four sensors for ambient monitoring: 3-axis acceleration, barometric pressure, temperature, and relative humidity. The peripheral circuitry for each sensor is connected to a one-chip microprocessor. The measured data is stored in memory and transferred via a wireless transmitter. We measured a human subject's daily life activities, and using data mining, we were able to obtain a representation of that subject's life circumstances.