ArticleSensors (Basel, Switzerland)2020
Time-Frequency Spectral Signature of Limb Movements and Height Estimation Using Micro-Doppler Millimeter-Wave Radar.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Fall Detection System Based on Point Cloud Enhancement Model for 24 GHz FMCW Radar.Sensors (Basel, Switzerland) · 2024Article
- Comparative Analysis of Audio Processing Techniques on Doppler Radar Signature of Human Walking Motion Using CNN Models.Sensors (Basel, Switzerland) · 2023Article
- mm-DSF: A Method for Identifying Dangerous Driving Behaviors Based on the Lateral Fusion of Micro-Doppler Features Combined.Sensors (Basel, Switzerland) · 2022Article
- Preclinical trial of noncontact anthropometric measurement using IR-UWB radar.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
We present a technique for the identification of human and animal movement and height using a low power millimeter-wave radar. The detection was based on the transmission of a continuous wave and heterodyning the received signal reflected from the target to obtain micro-Doppler shifts associated with the target structure and motion. The algorithm enabled the extraction of target signatures from typical gestures and differentiated between humans, animals, and other 'still' objects. Analytical expressions were derived using a pendulum model to characterize the micro-Doppler frequency shifts due to the periodic motion of the human and animal limbs. The algorithm was demonstrated using millimeter-wave radar operating in the W-band. We employed a time-frequency distribution to analyze the detected signal and classify the type of targets.
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Registered trials
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