Deep learning enabled fall detection exploiting gait analysis

Deep learning enabled fall detection exploiting gait analysis

Falls associated injuries often result not only increasing the medical-, social- and care-cost but also loss of mobility, impair chronic health and even potential risk of fatality. Because of elderly population growth, it is one of the major global public health problems. To address such issue, we p...

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Bibliographic Details
Main Authors: Anwary, Arif Reza, Rahman, Md Arafatur, Abu Jafar, Md Muzahid, Ul Ashraf, Akanda Wahid, Patwary, Mohammad Nuruzzaman, Hussain, Amir
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/39412/
http://umpir.ump.edu.my/id/eprint/39412/1/Deep%20Learning%20enabled%20Fall%20Detection%20exploiting%20Gait%20Analysis.pdf
http://umpir.ump.edu.my/id/eprint/39412/2/Deep%20learning%20enabled%20fall%20detection%20exploiting%20gait%20analysis_ABS.pdf

Internet

http://umpir.ump.edu.my/id/eprint/39412/
http://umpir.ump.edu.my/id/eprint/39412/1/Deep%20Learning%20enabled%20Fall%20Detection%20exploiting%20Gait%20Analysis.pdf
http://umpir.ump.edu.my/id/eprint/39412/2/Deep%20learning%20enabled%20fall%20detection%20exploiting%20gait%20analysis_ABS.pdf

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