Regular Section
Implementation of HMM-Based Human Activity Recognition Using Single Triaxial Accelerometer
2010 Volume E93.A Issue 7 Pages 1379-1383
Details
2010 Volume E93.A Issue 7 Pages 1379-1383
In this letter, we propose a novel approach to human activity recognition. We present a class of features that are robust to the tilt of the attached sensor module and a state transition model suitable for HMM-based activity recognition. In addition, postprocessing techniques are applied to stabilize the recognition results. The proposed approach shows significant improvements in recognition experiments over a variety of human activity DB.
