{"title":"5G原型系统的步行速度识别","authors":"Bahareh Gholampooryazdi, S. Sigg","doi":"10.1109/PERCOMW.2017.7917515","DOIUrl":null,"url":null,"abstract":"We investigate the recognition of walking speed by a prototypical 5G system exploiting 52 OFDM carriers over 12.48 MHz bandwidth at 3.45 GHz. We consider the impact of the number of channels exploited and compare the recognition performance with the accuracy achieved by acceleration-based sensing. Our results achieved in an experimental setting with five subjects suggest that accurate recognition of activities and environmental situations can be a reliable implicit service of future 5G installations.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Walking speed recognition from 5G Prototype System\",\"authors\":\"Bahareh Gholampooryazdi, S. Sigg\",\"doi\":\"10.1109/PERCOMW.2017.7917515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate the recognition of walking speed by a prototypical 5G system exploiting 52 OFDM carriers over 12.48 MHz bandwidth at 3.45 GHz. We consider the impact of the number of channels exploited and compare the recognition performance with the accuracy achieved by acceleration-based sensing. Our results achieved in an experimental setting with five subjects suggest that accurate recognition of activities and environmental situations can be a reliable implicit service of future 5G installations.\",\"PeriodicalId\":319638,\"journal\":{\"name\":\"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2017.7917515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2017.7917515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Walking speed recognition from 5G Prototype System
We investigate the recognition of walking speed by a prototypical 5G system exploiting 52 OFDM carriers over 12.48 MHz bandwidth at 3.45 GHz. We consider the impact of the number of channels exploited and compare the recognition performance with the accuracy achieved by acceleration-based sensing. Our results achieved in an experimental setting with five subjects suggest that accurate recognition of activities and environmental situations can be a reliable implicit service of future 5G installations.
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