title: Activity and location recognition using wearable sensors
abstract: 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
keyphrases: wearable sensors measured acceleration angular velocity dead-reckoning method user's location transitions sitting preselected locations standing walking