Title :
Activity and location recognition using wearable sensors
Author :
Lee, Seon-Woo ; Mase, Kenji
Author_Institution :
Hallym Univ., Kangwon, South Korea
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.
Keywords :
mobile computing; position measurement; sensors; angular velocity; dead-reckoning method; measured acceleration; preselected locations; sitting; standing; transitions; user´s location; walking; wearable sensors; Accelerometers; Angular velocity; Area measurement; Dead reckoning; Legged locomotion; Motion detection; Personal digital assistants; Pervasive computing; Sensor phenomena and characterization; Wearable sensors;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2002.1037719
