Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor

Joint Authors

Watanapa, Bunthit
Patsadu, Orasa
Dajpratham, Piyapat
Nukoolkit, Chakarida

Source

Applied Computational Intelligence and Soft Computing

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-06-03

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Information Technology and Computer Science

Abstract EN

This paper proposes a fall severity analytic and post-fall intelligence system with three interdependent modules.

Module I is the analysis of fall severity based on factors extracted in the phases of during and after fall which include innovative measures of the sequence of body impact, level of impact, and duration of motionlessness.

Module II is a timely autonomic notification to relevant persons with context-dependent fall severity alert via electronic communication channels (e.g., smartphone, tablet, or smart TV set).

Lastly, Module III is the diagnostic support for caregivers and doctors to have information for making a well-informed decision of first aid or postcure with the chronologically traceable intelligence of information and knowledge found in Modules I and II.

The system shall be beneficial to caregivers or doctors, in giving first aid/diagnosis/treatment to the subject, especially, in cases where the subject has lost consciousness and is unable to respond.

American Psychological Association (APA)

Watanapa, Bunthit& Patsadu, Orasa& Dajpratham, Piyapat& Nukoolkit, Chakarida. 2018. Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor. Applied Computational Intelligence and Soft Computing،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1117051

Modern Language Association (MLA)

Watanapa, Bunthit…[et al.]. Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor. Applied Computational Intelligence and Soft Computing No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1117051

American Medical Association (AMA)

Watanapa, Bunthit& Patsadu, Orasa& Dajpratham, Piyapat& Nukoolkit, Chakarida. Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor. Applied Computational Intelligence and Soft Computing. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1117051

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1117051