Sciweavers

Share
ICRA
2009
IEEE

Human daily activity recognition in robot-assisted living using multi-sensor fusion

9 years 5 months ago
Human daily activity recognition in robot-assisted living using multi-sensor fusion
In this paper, we propose a human daily activity recognition method by fusing the data from two wearable inertial sensors attached on one foot and the waist of the human subject, respectively. We developed a multi-sensor fusion scheme for activity recognition. First, data from these two sensors are fused for coarse-grained classification in order to determine the type of the activity: zero displacement activity, transitional activity, and strong displacement activity. Second, a fine-grained classification module based on heuristic discrimination or hidden Markov models (HMMs) is applied to further distinguish the activities. We conducted experiments using a prototype wearable sensor system and the obtained results prove the effectiveness and accuracy of our algorithm.
Chun Zhu, Weihua Sheng
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICRA
Authors Chun Zhu, Weihua Sheng
Comments (0)
books