Pub Date : 2021-06-01DOI: 10.1007/s42486-021-00058-2
Cheng Yang, Yiteng Peng, Jingjing Zeng
{"title":"Research on cognition and application of icon complexity based on EEG","authors":"Cheng Yang, Yiteng Peng, Jingjing Zeng","doi":"10.1007/s42486-021-00058-2","DOIUrl":"https://doi.org/10.1007/s42486-021-00058-2","url":null,"abstract":"","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42486-021-00058-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43218650","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}
Rutwik Patel, Suraj Mange, Simran Mulik, N. Mehendale
Emergency vehicle priority (EVP) systems are the need of the hour to reduce the transit time of emergency vehicles in cities. As these cities are major hubs of economic activity they are one of the most densely populated cities in the world. Due to numerous such issues, ambulances are not able to reach patients and hospitals on time. In this paper, we propose a system that detects an ambulance accurately and helps set up a makeshift emergency lane on the routes to be taken by it. The system relies on a neural network-based siren classifier to detect the ambulance using audio processing. The overall accuracy of the siren classifier was 97.2 %. After the ambulance is detected this information is then passed onto a network of Internet of Things (IoT) devices that activate visual indicators on the routes to be taken by the ambulance. On activating the visual indicators the traffic on those roads can start making a temporary emergency lane. The system uses a GPS-based mobile app to get route information of the ambulance. The network of IoT devices consists of a host device and station/node devices in a chain-like connection, where all devices are communicating via local WiFi networks. The host receives information about the ambulance from the neural network and the mobile app. The host then sends this information down the chain to other node devices. Through our proposed system we hope that the transit time of ambulances is reduced and hence accident victims, heart attack patients, etc can get medical attention faster.
{"title":"AI based emergency vehicle priority system","authors":"Rutwik Patel, Suraj Mange, Simran Mulik, N. Mehendale","doi":"10.2139/SSRN.3857859","DOIUrl":"https://doi.org/10.2139/SSRN.3857859","url":null,"abstract":"Emergency vehicle priority (EVP) systems are the need of the hour to reduce the transit time of emergency vehicles in cities. As these cities are major hubs of economic activity they are one of the most densely populated cities in the world. Due to numerous such issues, ambulances are not able to reach patients and hospitals on time. In this paper, we propose a system that detects an ambulance accurately and helps set up a makeshift emergency lane on the routes to be taken by it. The system relies on a neural network-based siren classifier to detect the ambulance using audio processing. The overall accuracy of the siren classifier was 97.2 %. After the ambulance is detected this information is then passed onto a network of Internet of Things (IoT) devices that activate visual indicators on the routes to be taken by the ambulance. On activating the visual indicators the traffic on those roads can start making a temporary emergency lane. The system uses a GPS-based mobile app to get route information of the ambulance. The network of IoT devices consists of a host device and station/node devices in a chain-like connection, where all devices are communicating via local WiFi networks. The host receives information about the ambulance from the neural network and the mobile app. The host then sends this information down the chain to other node devices. Through our proposed system we hope that the transit time of ambulances is reduced and hence accident victims, heart attack patients, etc can get medical attention faster.","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48316850","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}
Pub Date : 2021-06-01DOI: 10.1007/s42486-021-00066-2
Xin Li, Meiyan Teng, Jie Wu, Xiaolin Qin
{"title":"Dual-label aware service replacement for interaction quality improvement in heterogeneous MEC system","authors":"Xin Li, Meiyan Teng, Jie Wu, Xiaolin Qin","doi":"10.1007/s42486-021-00066-2","DOIUrl":"https://doi.org/10.1007/s42486-021-00066-2","url":null,"abstract":"","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42486-021-00066-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43740752","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}
Pub Date : 2021-06-01DOI: 10.1007/s42486-021-00060-8
Ying Wang, Wan-hong Wang, Defu Bao, Zhizhao Luo
{"title":"Research on the physiological load of interactive gesture in elderly based on sEMG","authors":"Ying Wang, Wan-hong Wang, Defu Bao, Zhizhao Luo","doi":"10.1007/s42486-021-00060-8","DOIUrl":"https://doi.org/10.1007/s42486-021-00060-8","url":null,"abstract":"","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42486-021-00060-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49471822","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}
{"title":"Value-based model of user interaction design for virtual museum","authors":"Ning Zou, Qing Gong, Jiangping Zhou, Pengrui Chen, Wenqi Kong, Chunlei Chai","doi":"10.1007/s42486-021-00061-7","DOIUrl":"https://doi.org/10.1007/s42486-021-00061-7","url":null,"abstract":"","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42486-021-00061-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48979097","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}
Pub Date : 2021-05-18DOI: 10.1007/s42486-021-00068-0
Shiwei Cheng, Huawei Tu, Tun-Wei Lu
{"title":"Editorial for special issue on big HCI, better service: pervasive, collaborative and innovative interaction","authors":"Shiwei Cheng, Huawei Tu, Tun-Wei Lu","doi":"10.1007/s42486-021-00068-0","DOIUrl":"https://doi.org/10.1007/s42486-021-00068-0","url":null,"abstract":"","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42486-021-00068-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49161524","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}
Pub Date : 2021-04-21DOI: 10.1007/s42486-020-00041-3
Zhen Tu, Hancheng Cao, Eemil Lagerspetz, Yali Fan, Huber Flores, S. Tarkoma, P. Nurmi, Yong Li
{"title":"Demographics of mobile app usage: long-term analysis of mobile app usage","authors":"Zhen Tu, Hancheng Cao, Eemil Lagerspetz, Yali Fan, Huber Flores, S. Tarkoma, P. Nurmi, Yong Li","doi":"10.1007/s42486-020-00041-3","DOIUrl":"https://doi.org/10.1007/s42486-020-00041-3","url":null,"abstract":"","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42486-020-00041-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46658955","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}
Pub Date : 2021-04-21DOI: 10.1007/s42486-021-00064-4
Baixi Xing, Huahao Si, Junbin Chen, Minchao Ye, Lei Shi
{"title":"Computational model for predicting user aesthetic preference for GUI using DCNNs","authors":"Baixi Xing, Huahao Si, Junbin Chen, Minchao Ye, Lei Shi","doi":"10.1007/s42486-021-00064-4","DOIUrl":"https://doi.org/10.1007/s42486-021-00064-4","url":null,"abstract":"","PeriodicalId":29906,"journal":{"name":"CCF Transactions on Pervasive Computing and Interaction","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2021-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s42486-021-00064-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42358217","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}
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