{"title":"Measurement and analysis of human micro-Doppler features in foliaged environments","authors":"Willis Troy, David Lin, M. Thompson, Yang Li","doi":"10.1109/WMCAS.2016.7577483","DOIUrl":null,"url":null,"abstract":"The focus of this work is on measuring and classifying human micro-Doppler features in forested environments. As a first step, measurements of human motion activities are performed in an open space environment to establish the baseline of this study. Next, forest measurements were taken at two locations in a local park for: different frequencies, activities, and number of subjects. Each experimental trial was measured for 20 seconds using a vector network analyzer (VNA) and post-processed into spectrograms, from which features are extracted to classify human motion activities.","PeriodicalId":227955,"journal":{"name":"2016 Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WMCAS.2016.7577483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The focus of this work is on measuring and classifying human micro-Doppler features in forested environments. As a first step, measurements of human motion activities are performed in an open space environment to establish the baseline of this study. Next, forest measurements were taken at two locations in a local park for: different frequencies, activities, and number of subjects. Each experimental trial was measured for 20 seconds using a vector network analyzer (VNA) and post-processed into spectrograms, from which features are extracted to classify human motion activities.