ACM Home Page
Please provide us with feedback. Feedback
3dID: a low-power, low-cost hand motion capture device
Full text PdfPdf (249 KB)
Source Design, Automation, and Test in Europe archive
Proceedings of the conference on Design, automation and test in Europe: Designers' forum table of contents
Munich, Germany
SESSION: Wireless communication and networking table of contents
Pages: 136 - 141  
Year of Publication: 2006
ISBN ~ ISSN:478061 , 3-9810801-0-6
Authors
Michele Sama  DEIS University of Bologna, BO Italy
Vincenzo Pacella  DEIS University of Bologna, BO Italy
Elisabetta Farella  DEIS University of Bologna, BO Italy
Luca Benini  DEIS University of Bologna, BO Italy
Bruno Riccó  DEIS University of Bologna, BO Italy
Sponsors
EDAA : European Design and Automation Association
: The EDA Consortium
IEEE-CS\DATC : The IEEE Computer Society
Publisher
European Design and Automation Association  3001 Leuven, Belgium, Belgium
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 115,   Citation Count: 1
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   

ABSTRACT

This paper presents a novel input device design for capturing gestures. The system is based on commodity components and combines accelerometers, gyroscopes and bend sensors. It is a low-power, low-cost hand device, characterized by extreme wearability thanks to wireless communication support and small form-factor. It can be used as a stand-alone platform or combined with other wireless sensor nodes in a body area network. The system has been tested as input interface for moving a virtual three-dimensional hand in real-time.


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
R. Barbieri, E. Farella, A. Acquaviva, L. Benini, and B. Ricco. A low-power motion capture system with integrated accelerometers. In CCNC, pages 418--423, 2004.
 
3
E. Farella, A. Acquaviva, L. Benini, and B. Ricco. A wearable gesture recognition system for natural navigation interfaces. In EUROMEDIA International Conference, pages 110--115. Eurosis, 2005.
 
4
 
5
 
6
 
7
 
8
 
9
 
10
 
11
 
12
13
 
14
 
15
16

Collaborative Colleagues:
Michele Sama: colleagues
Vincenzo Pacella: colleagues
Elisabetta Farella: colleagues
Luca Benini: colleagues
Bruno Riccó: colleagues