An Interactive Care System Based on a Depth Image and EEG for Aged Patients with Dementia
Joint Authors
Dang, Xin
Kang, Bingbing
Liu, Xuyang
Cui, Guangyu
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Due to the limitations of the body movement and functional decline of the aged with dementia, they can hardly make an efficient communication with nurses by language and gesture language like a normal person.
In order to improve the efficiency in the healthcare communication, an intelligent interactive care system is proposed in this paper based on a multimodal deep neural network (DNN).
The input vector of the DNN includes motion and mental features and was extracted from a depth image and electroencephalogram that were acquired by Kinect and OpenBCI, respectively.
Experimental results show that the proposed algorithm simplified the process of the recognition and achieved 96.5% and 96.4%, respectively, for the shuffled dataset and 90.9% and 92.6%, respectively, for the continuous dataset in terms of accuracy and recall rate.
American Psychological Association (APA)
Dang, Xin& Kang, Bingbing& Liu, Xuyang& Cui, Guangyu. 2017. An Interactive Care System Based on a Depth Image and EEG for Aged Patients with Dementia. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1180955
Modern Language Association (MLA)
Dang, Xin…[et al.]. An Interactive Care System Based on a Depth Image and EEG for Aged Patients with Dementia. Journal of Healthcare Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1180955
American Medical Association (AMA)
Dang, Xin& Kang, Bingbing& Liu, Xuyang& Cui, Guangyu. An Interactive Care System Based on a Depth Image and EEG for Aged Patients with Dementia. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1180955
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1180955