ACM Home Page
Please provide us with feedback. Feedback
AAMPL: accelerometer augmented mobile phone localization
Full text PdfPdf (384 KB)
Source
International Conference on Mobile Computing and Networking archive
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments table of contents
San Francisco, California, USA
SESSION: Novel applications or systems table of contents
Pages 13-18  
Year of Publication: 2008
ISBN:978-1-60558-189-7
Authors
Andrew Ofstad  Duke University, Durham, NC, USA
Emmett Nicholas  Duke University, Durham, NC, USA
Rick Szcodronski  Duke University, Durham, NC, USA
Romit Roy Choudhury  Duke University, Durham, NC, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 22,   Downloads (12 Months): 188,   Citation Count: 1
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/10.1145/1410012.1410016
What is a DOI?

ABSTRACT

A variety of mobile phone applications are on the rise, many of which utilize physical location to express the "context" of information. This paper argues that physical location alone, unless remarkably precise, may not be sufficient to express this context. Even slight localization errors may cause a mobile phone to be placed in a grocery store, as opposed to its actual location in an adjacent coffee shop. Applications such as location specific advertisements, can get affected. This paper proposes accelerometer augmented mobile phone localization (AAMPL), a system that uses accelerometer signatures to place mobile phones in the right context. Early evaluation on Nokia N95 phones shows that AAMPL can correct locations derived from Google Maps. We believe that AAMPL can be extended to additional sensors (like light and sound) to further aid GPS-free localization.


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
 
2
Shane B. Eisenman, et. al. "Metrosense project: People-centric sensing at scale," in First Workshop on World-Sensor-Web (WSW'2006), Oct, 2006.
 
3
Timothy Sohn, et. al. "Place-its: A study of location-based reminders on mobile phones," in Ubicomp, 2005.
4
5
 
6
Anthony LaMarca, et. al. "Place lab: Device positioning using radio beacons in the wild," in Pervasive, 2005.
7
 
8
L. Bao and S. Intille. Activity Recognition from User-Annotated Acceleration Data. In Proceedings of Pervasive Computing (PerCom), 2002.
 
9
D. Minnen, et al. Recognizing and Discovering Human Actions from On-Body Sensor Data. In International Conference on Multimedia and Expo, 2005.
 
10
R. Ganti, et al. SATIRE: A Software Architecture for Smart AtTIRE. In Proceedings of ACM Mobicom, 2003.
 
11
 
12
C. Randell and H. Muller. The Well Mannered Wearable Computer. Personal and Ubiquitous Computing 2002.
 
13
 
14
15
 
16
Symbian Signed. https://www.symbiansigned.com.


Collaborative Colleagues:
Andrew Ofstad: colleagues
Emmett Nicholas: colleagues
Rick Szcodronski: colleagues
Romit Roy Choudhury: colleagues