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Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing最新文献

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Detecting and Controlling Smart Lights with LiTalk 用LiTalk检测和控制智能灯
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing Pub Date : 2022-10-21 DOI: 10.1145/3556558.3558581
Jagdeep Singh, D. Watkinson, T. Farnham, D. Puccinelli
{"title":"Detecting and Controlling Smart Lights with LiTalk","authors":"Jagdeep Singh, D. Watkinson, T. Farnham, D. Puccinelli","doi":"10.1145/3556558.3558581","DOIUrl":"https://doi.org/10.1145/3556558.3558581","url":null,"abstract":"The rapid increase in demand for wireless controlled Smart Lighting has created a need to automate the mapping between the identifiers for individual light sources and their physical locations. To control Smart Lights, their IDs and physical locations relative to each other must be determined. Nowadays, skilled technicians perform this process manually, which requires a lot of effort, is time-consuming, and incurs high costs, particularly with non-stationary lights. Visible Light Communication has been presented as a possible solution to this problem. This paper presents an approach based on Visible Light Communication that leverages Machine Learning to automate the mapping process between the identifiers and the relative physical location of Smart Lights. We show that our approach provides a better location-mapping performance compared to existing methods.","PeriodicalId":166834,"journal":{"name":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117243852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
RMVS: Remote Monitoring of Vital Signs with mm-Wave Radar 利用毫米波雷达远程监测生命体征
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing Pub Date : 2022-10-21 DOI: 10.1145/3556558.3558578
Zhanjun Hao, Hao Yan, Xiao-chao Dang, Zhongyu Ma, Wenze Ke, Peng Jin
{"title":"RMVS: Remote Monitoring of Vital Signs with mm-Wave Radar","authors":"Zhanjun Hao, Hao Yan, Xiao-chao Dang, Zhongyu Ma, Wenze Ke, Peng Jin","doi":"10.1145/3556558.3558578","DOIUrl":"https://doi.org/10.1145/3556558.3558578","url":null,"abstract":"Indoor vital signs monitoring is beneficial for people's healthy life. However, the monitoring distance limits most existing mm-wave radar-based vital signs monitoring methods. Enhancing and analyzing the echo signal helps to improve the monitoring distance. In this work, we propose remote monitoring of vital signs with the mm-wave radar (RMVS) method to achieve long-range vital signs monitoring of indoor personnel. RMVS fully uses multiple antennas to characterize the reflected signal from the chest cavity. By overlaying the signals, the dynamic signal of vital signs is enhanced, and the ambient static clutter is suppressed. RMVS constructs the mapping relationship between distance and micro-Doppler by overlaying the Doppler information at different distances. It solves the problem of low accuracy of thoracic localization in the Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) paths by the traditional radar respiratory heartbeat monitoring method. It uses a new vital sign data extraction method to accurately discriminate vital sign data by the amplitude contribution of each frequency band. Experiments show that RMVS has a respiration monitoring error of less than 1.52 Beat Per Minute (BPM) within 3m.","PeriodicalId":166834,"journal":{"name":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
HueSense: Featuring LED Lights Through Hue Sensing 色相感应:采用LED灯通过色相感应
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing Pub Date : 2022-10-21 DOI: 10.1145/3556558.3558582
Jagdeep Singh, Qing Wang, Marco Zúñiga, T. Farnham
{"title":"HueSense: Featuring LED Lights Through Hue Sensing","authors":"Jagdeep Singh, Qing Wang, Marco Zúñiga, T. Farnham","doi":"10.1145/3556558.3558582","DOIUrl":"https://doi.org/10.1145/3556558.3558582","url":null,"abstract":"Visible Light Positioning (VLP) has been prevalent in providing high-precision localization systems in the past decade. However, the commercial availability or usage is still limited primarily due to the requirement of changing the existing lighting infrastructure. In this paper, we propose HueSense, an alternative technique to develop a passive VLP system by extracting light-emission intrinsic features, such as dominant colours present in the white LED light. The method can eliminate the need to change lighting-infrastructure, and only uses cheaper and power-efficient off-the-shelf hue sensors. Our experiments demonstrate that HueSense can achieve a location-mapping accuracy of 80.14% with a moving robot in uncontrolled lighting environments.","PeriodicalId":166834,"journal":{"name":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131997654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges 联邦学习智能路灯监控应用:优势与未来挑战
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing Pub Date : 2022-08-27 DOI: 10.1145/3556558.3558580
Diya Anand, Ioannis Mavromatis, P. Carnelli, Aftab Khan
{"title":"A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges","authors":"Diya Anand, Ioannis Mavromatis, P. Carnelli, Aftab Khan","doi":"10.1145/3556558.3558580","DOIUrl":"https://doi.org/10.1145/3556558.3558580","url":null,"abstract":"Data-enabled cities are recently accelerated and enhanced with automated learning for improved Smart Cities applications. In the context of an Internet of Things (IoT) ecosystem, the data communication is frequently costly, inefficient, not scalable and lacks security. Federated Learning (FL) plays a pivotal role in providing privacy-preserving and communication efficient Machine Learning (ML) frameworks. In this paper we evaluate the feasibility of FL in the context of a Smart Cities Street Light Monitoring application. FL is evaluated against benchmarks of centralised and (fully) personalised machine learning techniques for the classification task of the lampposts operation. Incorporating FL in such a scenario shows minimal performance reduction in terms of the classification task, but huge improvements in the communication cost and the privacy preserving. These outcomes strengthen FL's viability and potential for IoT applications.","PeriodicalId":166834,"journal":{"name":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133004846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing 第一届美国计算机学会人工智能授权移动和无线传感研讨会论文集
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing Pub Date : 1900-01-01 DOI: 10.1145/3556558
{"title":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","authors":"","doi":"10.1145/3556558","DOIUrl":"https://doi.org/10.1145/3556558","url":null,"abstract":"","PeriodicalId":166834,"journal":{"name":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128831409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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