Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor

المؤلفون المشاركون

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

المصدر

Applied Computational Intelligence and Soft Computing

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-15، 15ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-06-03

دولة النشر

مصر

عدد الصفحات

15

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1117051