Classification of Daily Activities for the Elderly Using Wearable Sensors
Joint Authors
Liu, Jian
Sohn, Jeehoon
Kim, Sukwon
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Monitoring of activities of daily living (ADL) using wearable sensors can provide an objective indication of the activity levels or restrictions experienced by patients or elderly.
The current study presented a two-sensor ADL classification method designed and tested specifically with elderly subjects.
Ten healthy elderly were involved in a laboratory testing with 6 types of daily activities.
Two inertial measurement units were attached to the thigh and the trunk of each subject.
The results indicated an overall rate of misdetection being 2.8%.
The findings of the current study can be used as the first step towards a more comprehensive activity monitoring technology specifically designed for the aging population.
American Psychological Association (APA)
Liu, Jian& Sohn, Jeehoon& Kim, Sukwon. 2017. Classification of Daily Activities for the Elderly Using Wearable Sensors. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1181298
Modern Language Association (MLA)
Liu, Jian…[et al.]. Classification of Daily Activities for the Elderly Using Wearable Sensors. Journal of Healthcare Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1181298
American Medical Association (AMA)
Liu, Jian& Sohn, Jeehoon& Kim, Sukwon. Classification of Daily Activities for the Elderly Using Wearable Sensors. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1181298
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181298