Yue Zhang, Shijia Pan, Jonathon Fagert, Mostafa Mirshekari, H. Noh, Pei Zhang, Lin Zhang
{"title":"Occupant-induced office floor vibration dataset for activity level monitoring","authors":"Yue Zhang, Shijia Pan, Jonathon Fagert, Mostafa Mirshekari, H. Noh, Pei Zhang, Lin Zhang","doi":"10.1145/3277868.3277871","DOIUrl":"https://doi.org/10.1145/3277868.3277871","url":null,"abstract":"Occupant activity level plays an important part in many smart building applications, such as power management [5] and elderly care [1]. There are several approaches to obtain occupant states, including visual-, acoustic-, and radio frequency based techniques. However, visual-based approaches require light-of-sight, while acoustic-based approaches are sensitive to background noise. On the other hand, radio-based approaches often require the occupant to carry a particular device to receive signals from base stations, which requires direct participation from the monitored occupants at all times.","PeriodicalId":320905,"journal":{"name":"Proceedings of the First Workshop on Data Acquisition To Analysis","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114607834","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":"The big house dataset: desired applications and interactions","authors":"Meghan Clark, Mark W. Newman, P. Dutta","doi":"10.1145/3277868.3277878","DOIUrl":"https://doi.org/10.1145/3277868.3277878","url":null,"abstract":"What do normal, everyday people want to do with consumer IoT systems in their homes? How do different IoT interfaces affect what users think the system can do? We deployed four questionnaires to collect information on the interactions and applications that typical home occupants desire from smart home IoT technologies. We received over 1,500 responses, about 600 of which are users' descriptions of IoT applications they would like in their home, and about 900 of which are users' interactions with a smart home AI. This dataset was released publicly along with a paper describing key findings on the priming effects of common IoT system interfaces. However, the data is a rich source of additional information related to what people want to do and how they want to do it. Researchers in both academia and industry can benefit from the insights this dataset has to offer about consumer IoT applications, user-centric system design, and trade-offs between interfaces.","PeriodicalId":320905,"journal":{"name":"Proceedings of the First Workshop on Data Acquisition To Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120977881","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}
Mitchell Cooke, Yongyong Wei, Yujiao Hao, Rong Zheng
{"title":"ILOS","authors":"Mitchell Cooke, Yongyong Wei, Yujiao Hao, Rong Zheng","doi":"10.1145/3277868.3277876","DOIUrl":"https://doi.org/10.1145/3277868.3277876","url":null,"abstract":"Fingerprint based indoor localization is promising with distinctive signal readings such as Wi-Fi Received Signal Strength (RSS) and magnetic field in indoor environments. However, collecting location fingerprints is a time consuming process. In this paper, we present an efficient tool to collect location dependent data by utilizing inertial sensors on a smart phone. An empirical study shows that with this tool, location fingerprints can be quickly collected and an average localization accuracy around three meters can be achieved using Wi-Fi fingerprints only.","PeriodicalId":320905,"journal":{"name":"Proceedings of the First Workshop on Data Acquisition To Analysis","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123485621","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":"Proceedings of the First Workshop on Data Acquisition To Analysis","authors":"","doi":"10.1145/3277868","DOIUrl":"https://doi.org/10.1145/3277868","url":null,"abstract":"","PeriodicalId":320905,"journal":{"name":"Proceedings of the First Workshop on Data Acquisition To Analysis","volume":"37 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120905771","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":"One-month beijing taxi GPS trajectory dataset with taxi IDs and vehicle status","authors":"Jing Lian, Lin Zhang","doi":"10.1145/3277868.3277870","DOIUrl":"https://doi.org/10.1145/3277868.3277870","url":null,"abstract":"GPS taxi trajectories provide abundant information for revealing mobilities and human behaviors, which can be further used in many applications, e.g. traffic monitoring and urban planning. This paper provides a taxi trajectory dataset of Beijing in May 2009 with 129 million data samples. Each sample records detailed information of taxis including taxi ID, location, time stamp, occupancy indicator, orientation and speed. The dataset has good temporal and spatial coverage, including weekdays, weekends and public holidays of all the main urban areas in Beijing. High sampling rate is an advantage of this dataset, i.e. 75.36% data samples have only 1 minute time interval. This dataset provides huge possibilities to be used in trajectory related applications for algorithms validation or testing.","PeriodicalId":320905,"journal":{"name":"Proceedings of the First Workshop on Data Acquisition To Analysis","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123329301","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}