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

Public Health
Medicine

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