Title :
Human Activity Recognition in Smart Environments
Author :
Dragan, Monica-Andreea ; Mocanu, Irina
Author_Institution :
Comput. Sci. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania
Abstract :
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.
Keywords :
biomechanics; geriatrics; hidden Markov models; home computing; image classification; image thinning; neural nets; object recognition; activity interpretation; artificial neural networks; background skeletisation; background subtraction; bending down; bending up; elderly people; falling; hidden Markov models; human posture classification; image based human activity recognition; image processing techniques; lying; rotating; sitting; smart environments; smart houses; walking; Analytical models; Artificial neural networks; Cameras; Hidden Markov models; Legged locomotion; Unified modeling language; Activity recognition; Artificial Neural Network; Background subtraction; Hidden Markov Model; Smart environment;
Conference_Titel :
Control Systems and Computer Science (CSCS), 2013 19th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-6140-8
DOI :
10.1109/CSCS.2013.78
