ACM Home Page
Please provide us with feedback. Feedback
A personal-area network of low-power wireless interfacing devices for handhelds: system and hardware design
Full text PdfPdf (411 KB)
Source ACM International Conference Proceeding Series; Vol. 111 archive
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services table of contents
Salzburg, Austria
SESSION: Interaction techniques table of contents
Pages: 251 - 254  
Year of Publication: 2005
ISBN:1-59593-089-2
Authors
Lin Zhong  Princeton University, Princeton, NJ
Mike Sinclair  Microsoft Research, Redmond, WA
Niraj K. Jha  Princeton University, Princeton, NJ
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 94,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1085777.1085823
What is a DOI?

ABSTRACT

Handhelds, such as smart-phones and Pocket PCs, have the potential to become the computing, storage, and connectivity hub, or Digital Hub, for pervasive computing. However, their current interfacing paradigms fall short of achieving this goal. To meet this challenge, we present the system and hardware design for a Bluetooth-based personal-area network (PAN) of low-power wireless interfacing devices. The network consists of a wrist-watch, single-hand single-tap multi-finger keypad, smart speech portal, and GPS receiver. These devices serve a handheld in a synergistic fashion, collectively providing the user with immediate and more natural access to computing power and enabling more and better services.


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
BTAccess library. http://www.high-point.com.
 
2
Fastap. http://www.digitwireless.com/.
 
3
4
 
5
 
6
M. Graciarena, H. F. H., K. Sonmez, and H. H. Bratt. Combining standard and throat microphones for robust speech recognition. IEEE Signal Processing Letters, 10(3):72--74, Mar. 2003.
 
7
IBM Linux watch. http://www.research.ibm.com/WearableComputing.
 
8
Initium Promi-ESD™. http://www.initium.co.kr/english/promiesd.html.
9
 
10
Microsoft SPOT. http://www.spot-watch.com/.
 
11
 
12
 
13
 
14
 
15
Thumbscript. http://www.thumbscript.com.
 
16
Twiddler. http://www.handykey.com.
 
17
Y. Zheng, Z. Liu, Z. Zhang, M. Sinclair, J. Droppo, L. Deng, A. A. Acero, and X. Huang. Air-and bone-conductive integrated microphones for robust speech detection and enhancement. In Proc. IEEE Wkshp. Automatic Speech Recognition & Understanding, pages 249--254, Nov.-Dec. 2003.


Collaborative Colleagues:
Lin Zhong: colleagues
Mike Sinclair: colleagues
Niraj K. Jha: colleagues