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Article

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Title

Analysis of human body movement patterns and falls detection

Authors

[ 1 ] Wydział Techniczny, Akademia im. Jakuba z Paradyża | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology
[2.9] Mechanical engineering

Year of publication

2024

Published in

Procedia Computer Science

Journal year: 2024 | Journal volume: 246

Article type

scientific article / paper

Publication language

english

Keywords
EN
  • falls detection
  • human body movement analysis
  • statistic filtration
  • poincaré plot
Abstract

EN In the paper there are presented and discussed problems of applying the analytical techniques to extract required information from discrete biometric signal. In particular, there are presented results of research on a method to analyze the human body physical activity recording. The research is aimed to determine factors of body movement in three-dimensional space that can be used to detect selected situations, especially the dangerous ones, such as falls. In particular, there is analyzed whether the Poincaré plot-based statistical filtration can be effectively used as the analytical apparatus to detect potentially hazardous situations. Such research results are not publicly available and obtaining and publishing it will allow for designing and constructing the high-efficiency and low-cost microprocessor systems to detect and help to avoid the dangerous situations. Changes in age structure of contemporary societies are briefly discussed as the background and motivation for research. A review of human body activity monitoring techniques in terms of fall detection is presented, and analysis of such a signal is formalized. Auxiliary signal transform and data measures are proposed, analytic technique is presented and example of results are given. Research results overview is presented and conclusion is drawn, future work directions are proposed.

Pages (from - to)

4759 - 4768

DOI

10.1016/j.procs.2024.09.341

URL

https://www.sciencedirect.com/science/article/pii/S1877050924023664?via%3Dihub

Presented on

28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), 11-13.09.2024, Seville, Hiszpania

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

11.2024

Date of Open Access to the publication

at the time of publication

Ministry points / journal

5

Ministry points / conference (CORE)

70