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Deep Learning enabled Fall Detection exploiting Gait Analysis

  • Published:2022-07-11 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Anwary Arif Reza1,Rahman Md Arafatur2,Muzahid Abu Jafar Md3,Ul Ashraf Akanda Wahid4,Patwary Mohammad2,Hussain Amir1

Affiliation:

1. School of Computing, Edinburgh Napier University

2. School of Mathematics and Computer Science, University of Wolverhampton,UK

3. Universiti Malaysia Pahang,Faculty of Computing,Pahang,Malaysia,26600

4. Bournemouth University,Computer Vision and Deep Learning Engineer

Funder

UK Engineering and Physical Sciences Research Council (EPSRC)

Publisher

IEEE

Reference15 articles.

1. Mediapipe: A framework for building perception pipelines;lugaresi;ArXiv Preprint,2019

2. Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification

3. A simple vision-based fall detection technique for indoor video surveillance

4. Multiple cameras fall dataset;auvinet;DIRO-Université de Montréal,2010

5. Long Short-Term Memory

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