Human micro-Doppler intensity transformation for gait velocity estimation
| dc.contributor.author | Singh V.; Bhattacharyya S.; Jain P.K. | |
| dc.date.accessioned | 2025-05-23T11:30:27Z | |
| dc.description.abstract | The human gait micro Doppler signature includes the combined effect of human limb movements along with the main body translation. The decomposition of different components from human gait spectrogram is necessary to obtain the velocity information of human subject. A distance dependent, double threshold-based image transformation method has been adopted to extract out the torso Doppler frequencies from the joint time frequency spectrogram image in order to accurately estimate the actual instantaneous velocity of the human subject. © 2020 Indian Radio Science Society. | |
| dc.identifier.doi | https://doi.org/10.23919/URSIRCRS49211.2020.9113546 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/12205 | |
| dc.relation.ispartofseries | 2020 URSI Regional Conference on Radio Science, URSI-RCRS 2020 - Proceedings | |
| dc.title | Human micro-Doppler intensity transformation for gait velocity estimation |