Title:
The Smart Floor: A Mechanism for Natural User Identification and Tracking

dc.contributor.author Orr, Robert J.
dc.contributor.author Abowd, Gregory D.
dc.date.accessioned 2004-10-06T17:38:56Z
dc.date.available 2004-10-06T17:38:56Z
dc.date.issued 2000
dc.description.abstract We have created a system for identifying people based on their footstep force profiles and have tested its accuracy against a large pool of footstep data. This floor system may be used to transparently identify users in their everyday living and working environments. We have created user footstep models based on footstep profile features and have been able to achieve a recognition rate of 93% using this feature-based approach. We have also shown that the effect of footwear is negligible on recognition accuracy. en
dc.format.extent 124202 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/3321
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-00-02
dc.subject Interaction technology en
dc.subject Ubiquitous computing en
dc.subject Tactile I/O en
dc.subject User identification en
dc.subject Biometrics en
dc.subject Indoor positioning en
dc.subject Intelligent home environments en
dc.subject Intelligent systems en
dc.title The Smart Floor: A Mechanism for Natural User Identification and Tracking en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Abowd, Gregory D.
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isAuthorOfPublication a9e4f620-85d6-4fb9-8851-8b0c3a0e66b4
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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