Title
Activity Recognition Method for Home-Based Elderly Care Service Based on Random Forest and Activity Similarity.
Abstract
In home-based elderly care service, how to precisely recognize activities is a key issue in the design and implementation of context-aware service for elderly people. Existing research works reveal that those approaches ignore the characteristics of activity diversity, and similarity and the features of activities of elderly people at home, so recognition accuracy of those approaches are not high enough for real-life applications. Thus, in this paper, we first study the types of activities in home-based elderly care service. Then, we propose a two-stage elderly home activity recognition method based on random forest and activity similarity. The method uses improved random forest to obtain a preliminary result in the first stage. Then, the correlation between activity, location, and time is employed to judge the rationality of the result. The similarity of activities is further used to correct the results in the second stage. We set up a series of experiments to evaluate the effectiveness and efficiency of our approach.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2894184
IEEE ACCESS
Keywords
Field
DocType
Activity recognition,activity similarity,context awareness,home-based care service,random forest
Activity recognition,Computer science,Computer network,Artificial intelligence,Random forest,Machine learning
Journal
Volume
ISSN
Citations 
7
2169-3536
1
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Hanchuan Xu1147.04
Yuxin Pan210.35
l i jingxuan3452.76
Lanshun Nie414017.83
Xiaofei Xu540870.26