ACM Home Page
Please provide us with feedback. Feedback
The smart floor: a mechanism for natural user identification and tracking
Full text PdfPdf (240 KB)
Source Conference on Human Factors in Computing Systems archive
CHI '00 extended abstracts on Human factors in computing systems table of contents
The Hague, The Netherlands
SESSION: Short talks: multimodal interaction table of contents
Pages: 275 - 276  
Year of Publication: 2000
ISBN:1-58113-248-4
Authors
Robert J. Orr  Georgia Institute of Technology, Atlanta, GA
Gregory D. Abowd  Georgia Institute of Technology, Atlanta, GA
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 24,   Downloads (12 Months): 118,   Citation Count: 35
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/633292.633453
What is a DOI?

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 identify users transparently 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%. We have also shown that the effect of footwear is negligible on recognition accuracy.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Addlesee, M., Jones, A., Livesey, F., and Samaria, F. The ORL Active Floor. IEEE Personal Communications, October 1997, 35-41.
 
2
Moore, A. and Lee, M. S. Efficient Algorithms for Minimizing Cross Validation Error. Proceedings of the 11th International Conference on Machine Learning, Morgan Kaufmann, 1994.

CITED BY  35

Collaborative Colleagues:
Robert J. Orr: colleagues
Gregory D. Abowd: colleagues