Issue No. 03 - July-September (2002 vol. 1)
Using measured acceleration and angular velocity data gathered through inexpensive, wearable sensors, this dead-reckoning method can determine a user's location, detect transitions between preselected locations, and recognize and classify sitting, standing, and walking behaviors. Experiments demonstrate the proposed method's effectiveness.
position measurement, sensors, mobile computing, walking, measured acceleration, angular velocity, wearable sensors, dead-reckoning method, user's location, preselected locations, transitions, sitting, standing, Wearable sensors, Legged locomotion, Dead reckoning, Motion detection, Sensor phenomena and characterization, Accelerometers, Angular velocity, Personal digital assistants, Pervasive computing, Area measurement
"Activity and location recognition using wearable sensors," in IEEE Pervasive Computing, vol. 1, no. , pp. 24,25,26,27,28,29,30,31,32, 2002.