https://scholars.lib.ntu.edu.tw/handle/123456789/470157
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Shih, Chi Sheng | en_US |
dc.contributor.author | Wang, Tim Yuao | en_US |
dc.contributor.author | Chou, Jyun Jhe | en_US |
dc.contributor.author | Chuang, Ze Yu | en_US |
dc.contributor.author | Chuang, Ching Chi | en_US |
dc.contributor.author | Lin, Kwei Jay | en_US |
dc.contributor.author | WEI-DEAN WANG | en_US |
dc.contributor.author | CHI-SHENG SHIH | en_US |
dc.creator | Shih, Chi Sheng;Wang, Tim Yuao;Chou, Jyun Jhe;Chuang, Ze Yu;Chuang, Ching Chi;Lin, Kwei Jay;Wei-Dean Wang;Huang, Kuo Chin | - |
dc.date.accessioned | 2020-03-05T05:40:45Z | - |
dc.date.available | 2020-03-05T05:40:45Z | - |
dc.date.issued | 2017-09-20 | - |
dc.identifier.isbn | 9781450350273 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/470157 | - |
dc.description.abstract | © 2017 Association for Computing Machinery. Gait velocity has become a valid and important metric for senior populations. However, existing approaches to measure gait velocity are either limited to specific location or too expensive to be applied. IoT middleware allows the systems to collect data in a large space in a collaborative manner. However, it is a great challenge of integrating large numbers of low-cost devices to accomplish the task. This paper presents the design, implementation, and findings of using low-cost thermal sensors to monitor the activity index in home environment. The system is built on top of WuKong middleware. The evaluation results show that the system can measure the gait velocity with negligible errors. When the parameters for noise filtering are correctly configured, the F-Score of the heat source detection can achieve 0.99. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Proceedings of the 2017 Research in Adaptive and Convergent Systems, RACS 2017 | en_US |
dc.subject | Computer Communication Networks | Computer Systems Organization | Internetworking | en_US |
dc.title | Collaborative sensing for privacy preserving gait tracking using IoT Middleware | en_US |
dc.type | conference paper | en_US |
dc.identifier.doi | 10.1145/3129676.3129696 | - |
dc.identifier.scopus | 2-s2.0-85043348861 | - |
dc.identifier.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043348861&doi=10.1145%2f3129676.3129696&partnerID=40&md5=5ba88437f88168880aad5891b510f056 | - |
dc.relation.journalvolume | 2017-January | en_US |
dc.relation.pageend | 159 | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.openairetype | conference paper | - |
crisitem.author.dept | Family Medicine-NTUH | - |
crisitem.author.dept | Medical Education and Bioethics | - |
crisitem.author.dept | Family Medicine | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Intel-NTU Connected Context Computing Center | - |
crisitem.author.dept | MediaTek-NTU Research Center | - |
crisitem.author.orcid | 0000-0002-3116-5954 | - |
crisitem.author.orcid | 0000-0001-8936-8255 | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | Others: International Research Centers | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
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