Abstract
Gait analysis plays a crucial role in medical diagnostics due to its ability to determine and quantify the patient’s physical abilities and limitations. Unlike the other competing sensors, radar is capable of measuring human gait in non-contact fashion. In this paper, we present the extraction of six different gait parameters using Frequency Modulated Continuous Wave (FMCW) radar within five walking steps. The range-time and Doppler-time information are used to extract the parameters. The range-time information of FMCW radar yields the walking duration, walking time, and average walking velocity whereas, the velocity-time information yields pause time during walking, inter-step distance variation, and inter-step time variations. An Inertial Measurement Unit (IMU) is deployed as a ground-truth reference sensor to track the gait movement and a high correlation is found between radar and the reference sensor. Finally, as a use case example, gait parameters analysis is performed to detect asymmetric gait movement. Symmetric and asymmetric walking data is collected with radar and features analysis is performed which suggests that inter-step time and velocity variations contributes greatly in asymmetry detection.
This research was supported by National Research Foundation (NRF) of Korea. (NRF-2022R1A2C2008783).
S. Ahmed and Y. Seo—Contributed equally as co-first authors.
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Acknowledgements
This research was supported by National Research Foundation (NRF) of Korea. (NRF-2022R1A2C2008783). Shahzad Ahmed and Yudam Seo contributed equally as co-first authors. The authors are thankfull to all the human volunteers for their time and effort.
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Ahmed, S., Seo, Y., Cho, S.H. (2023). Gait Asymmetry Evaluation Using FMCW Radar in Daily Life Environments. In: Rojas, I., Valenzuela, O., Rojas Ruiz, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2023. Lecture Notes in Computer Science(), vol 13919. Springer, Cham. https://doi.org/10.1007/978-3-031-34953-9_9
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