{"title":"医院活动识别与未来预测","authors":"Sozo Inoue","doi":"10.1145/3004010.3004012","DOIUrl":null,"url":null,"abstract":"In this paper, we firstly introduce our work [9] where we proposed for recognizing whole day activities using prior knowledge, and applied the method for real nursing sensor dataset we have collected. Then, we introduce the method for predicting the near future of nurses by integrating nurse activity data, location data, and medical records, based on our work [10]. For both works, we independently collected real and open nursing datasets with 2 weeks of accelerometers and training labels from 22 nurses for the former work, and nurse activity, location, medical payment, and nursing need data from 35 nurses and 96 patients for 40 days for the latter work.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"258 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Activity Recognition and Future Prediction in Hospitals\",\"authors\":\"Sozo Inoue\",\"doi\":\"10.1145/3004010.3004012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we firstly introduce our work [9] where we proposed for recognizing whole day activities using prior knowledge, and applied the method for real nursing sensor dataset we have collected. Then, we introduce the method for predicting the near future of nurses by integrating nurse activity data, location data, and medical records, based on our work [10]. For both works, we independently collected real and open nursing datasets with 2 weeks of accelerometers and training labels from 22 nurses for the former work, and nurse activity, location, medical payment, and nursing need data from 35 nurses and 96 patients for 40 days for the latter work.\",\"PeriodicalId\":406787,\"journal\":{\"name\":\"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services\",\"volume\":\"258 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3004010.3004012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3004010.3004012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Activity Recognition and Future Prediction in Hospitals
In this paper, we firstly introduce our work [9] where we proposed for recognizing whole day activities using prior knowledge, and applied the method for real nursing sensor dataset we have collected. Then, we introduce the method for predicting the near future of nurses by integrating nurse activity data, location data, and medical records, based on our work [10]. For both works, we independently collected real and open nursing datasets with 2 weeks of accelerometers and training labels from 22 nurses for the former work, and nurse activity, location, medical payment, and nursing need data from 35 nurses and 96 patients for 40 days for the latter work.
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