Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95606
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | en_US |
dc.creator | Wang, Y | en_US |
dc.creator | Zheng, Y | en_US |
dc.date.accessioned | 2022-09-22T06:14:04Z | - |
dc.date.available | 2022-09-22T06:14:04Z | - |
dc.identifier.issn | 1536-1233 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/95606 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Y. Wang and Y. Zheng, "TagBreathe: Monitor Breathing with Commodity RFID Systems," in IEEE Transactions on Mobile Computing, vol. 19, no. 4, pp. 969-981, 1 April 2020 is available at https://doi.org/10.1109/TMC.2019.2900214. | en_US |
dc.subject | Breath monitoring | en_US |
dc.subject | RFID | en_US |
dc.subject | Signal phase and backscatter signal | en_US |
dc.title | TagBreathe : monitor breathing with commodity RFID systems | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 969 | en_US |
dc.identifier.epage | 981 | en_US |
dc.identifier.volume | 19 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.doi | 10.1109/TMC.2019.2900214 | en_US |
dcterms.abstract | Breath monitoring helps assess the general personal health and gives clues to chronic diseases. Yet, current breath monitoring technologies are inconvenient and intrusive. For instance, typical breath monitoring devices need to attach nasal probes or chest bands to users. Wireless sensing technologies have been applied to monitor breathing using radio waves without physical contact. Those wireless sensing technologies however require customized radios which are not readily available. More importantly, due to interference, such technologies do not work well with multiple users. When multiple users are present, the detection accuracy of existing systems decreases dramatically. In this paper, we propose to monitor users' breathing using commercial-off-the-shelf (COTS) RFID systems. In our system, passive lightweight RFID tags are attached to users' clothes and backscatter radio waves, and commodity RFID readers report low level data (e.g., phase values). We reliably detect the effective human respiration corresponded signal and track periodic body movement due to inhaling and exhaling by analyzing the low level data reported by commodity readers. To enhance the measurement robustness, we synthesize data streams from an array of multiple tags to improve the monitoring accuracy. Our design follows the standard EPC protocol which arbitrates collisions in the presence of multiple tags. We implement a prototype for the breath monitoring system with commodity RFID systems. The experiment results show that the prototype system can simultaneously monitor breathing with high accuracy even with the presence of multiple users. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on mobile computing, Apr. 2020, v. 19, no. 4, 8651399, p. 969-981 | en_US |
dcterms.isPartOf | IEEE transactions on mobile computing | en_US |
dcterms.issued | 2020-04 | - |
dc.identifier.scopus | 2-s2.0-85081650199 | - |
dc.identifier.eissn | 1558-0660 | en_US |
dc.identifier.artn | 8651399 | en_US |
dc.description.validate | 202209_bcww | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-0361 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 20980854 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wang_Tagbreathe_Monitor_Breathing.pdf | Pre-Published version | 1.79 MB | Adobe PDF | View/Open |
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