Abstract
In recent years, the recognition and analysis of human gaits have garnered significant interest in diverse applications such as biometrics, healthcare, and security. This paper presents a simulation study and analysis of limps of different severities and comparison with normal walking gait. Various limp gaits were simulated by adjusting some of the parameters in a well-known gait model developed for normal gait. Analysis was performed by extracting various metrics using the micro-Doppler features as well as the Hilbert-Huang model, which show differences for limping stages. It is conjectured that by combining micro-Doppler features with specific metrics derived from HHT analysis, it may be possible to detect the onset of limp gait and to assess its severity.
| Original language | English (US) |
|---|---|
| Title of host publication | Radar Sensor Technology XXVIII |
| Editors | Abigail S. Hedden, Gregory J. Mazzaro |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510674141 |
| DOIs | |
| State | Published - 2024 |
| Event | Radar Sensor Technology XXVIII 2024 - National Harbor, United States Duration: Apr 22 2024 → Apr 24 2024 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 13048 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | Radar Sensor Technology XXVIII 2024 |
|---|---|
| Country/Territory | United States |
| City | National Harbor |
| Period | 4/22/24 → 4/24/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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