Human Activity Recognition in Smart Environments

被引：10
|
作者：
Dragan, Monica-Andreea [1 ]
Mocanu, Irina [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Comp Sci, Bucharest, Romania
来源：
19TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS 2013) | 2013年
关键词：
Activity recognition; Background subtraction; Hidden Markov Model; Artificial Neural Network; Smart environment;
D O I：
10.1109/CSCS.2013.78
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a method for image based human activity recognition, in a smart environment. We use background subtraction and skeletisation as image processing techniques, combined with Artificial Neural Networks for human posture classification and Hidden Markov Models for activity interpretation. By this approach we successfully recognized basic human actions such as walking, rotating, sitting and bending up/down, lying and falling. The method can be applied in smart houses, for elderly people who live alone.
引用
收藏
页码：495 / 502
页数：8
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