Activity Recognition from User-Annotated Acceleration Data


In this work, algorithms are developed and evaluated to detect physical activities from data acquired using five small biaxial accelerometers worn simultaneously on different parts of the body. Acceleration data was collected from 20 subjects without researcher supervision or observation. Subjects were asked to perform a sequence of everyday tasks but not… (More)
DOI: 10.1007/978-3-540-24646-6_1


8 Figures and Tables


Citations per Year

3,064 Citations

Semantic Scholar estimates that this publication has 3,064 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics