All Outputs (4)

Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition (2014)
Journal Article
Chernbumroong, S., Cang, S., & Yu, H. (2015). Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition. Expert Systems with Applications, 42(1), 573-583. https://doi.org/10.1016/j.eswa.2014.07.052

We propose a feature selection algorithm using MRMC.Show that MRMC provides a good result comparing to the 3 popular algorithms.The complementary measure improves the performance of the Clamping algorithm.Evaluate the proposed algorithm on 2 well-def... Read More about Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition.

A numerical dynamic behaviour model for 3D contact problems with friction (2014)
Journal Article
Pop, N., Vladareanu, L., Popescu, I. N., Ghiţă, C., Gal, A., Cang, S., …Deng, M. (2014). A numerical dynamic behaviour model for 3D contact problems with friction. Computational Materials Science, 94, 285-291. https://doi.org/10.1016/j.commatsci.2014.

This paper proposes a novel algorithm for the condition detection in which the slip state transitions in a stick–slip motion, or the solution breaks down and also to study the state transition of nodes belonging to the contact area: stick, slip or op... Read More about A numerical dynamic behaviour model for 3D contact problems with friction.

A practical multi-sensor activity recognition system for home-based care (2014)
Journal Article
Chernbumroong, S., Cang, S., & Yu, H. (2014). A practical multi-sensor activity recognition system for home-based care. Decision Support Systems, 66, 61-70. https://doi.org/10.1016/j.dss.2014.06.005

To cope with the increasing number of aging population, a type of care which can help prevent or postpone entry into institutional care is preferable. Activity recognition can be used for home-based care in order to help elderly people to remain at h... Read More about A practical multi-sensor activity recognition system for home-based care.

Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People (2014)
Journal Article
Chernbumroong, S., Cang, S., & Yu, H. (2015). Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People. IEEE Journal of Biomedical and Health Informatics, 19(1), 282-289. https://doi.org/10.1109/jbhi.2014.2313473

Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in... Read More about Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People.