Hand-Motion Recognition System Using Directional Patterns of Gyroscope for Smart Device Control

Ki Hong Park

doi:10.4028/www.scientific.net/AMR.601.196

Paper Titles

Manufacture and Research on a Kind of Double-Channel MRFs Testing Equipment
p.177

Optimization of DVG850 Dual-Screw Worktable System Based on ANSYS Workbench
p.181

Analysis of Land Use Changes on Groundwater Dynamics
p.186

CFD Application for Performance Based Safety Verification of Reinforced Concrete Beam in Computer Simulation Building Fire
p.190

Hand-Motion Recognition System Using Directional Patterns of Gyroscope for Smart Device Control
p.196

Normal and Abnormal Non-Speech Audio Event Detection Using MFCC and PR-Based Feature Sets
p.200

Optimization Method of Wavefront Reconstruction Based on Spatial Light Modulator
p.209

Evaluation of Sensorial Qualities of Fruit Wines by Kohonen Neural Network
p.216

Numerical Simulation of Meso-Mechanism of Liquefaction in Saturated Stratified Silty Sands
p.222

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 601Hand-Motion Recognition System Using Directional...

Hand-Motion Recognition System Using Directional Patterns of Gyroscope for Smart Device Control

Abstract:

In this paper, I proposed the hand-motion recognition system using gyroscope for smart devices. The proposed systems includes a set of modules; gyroscope, RF transmitter/receiver, MCU for signal processing, USB connector and PC-based software. The gyroscope is used to recognize the hand-motion in three-dimension space, and communication bandwidth for transceiver is also set to 2.4~2.5GHz. The nRF24L01 module is used for wireless communication between the transmitter and receiver. For recognizing the hand-motions, the active patterns consist of directional patterns including up, down, left and right direction. Proposed hand-motion recognizing system is configured and simulated base on combinations of hand-motions. In the experimental results, the proposed system was able to recognize the hand-motions, and the results of this paper can apply proposed system to various smart fields.

You might also be interested in these eBooks

Management, Manufacturing and Materials Engineering II

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 601)

Pages:

196-199

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.601.196

Citation:

Cite this paper

Online since:

December 2012

Authors:

Ki Hong Park

Keywords:

Directional Pattern, Gesture Recognition, Gyroscope, Hand-Motion Recognition, R1001H

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] BCC research in: Healthcare information system, (1996).

Google Scholar

[2] S.S. You and F. Karim: An Adaptive Middleware for Context-Sensitive Communications for Real-Time Applications in Ubiquitous Computing Environments, Real-Time Systems, (2004).

DOI: 10.1023/b:time.0000009305.62647.ee

Google Scholar

[3] Lawrence, Anthony in: Modern Inertial Technology Second Edition: Navigatino, Guidance, and Control (Springer Verlag 2009).

Google Scholar

[4] U.S. Department of Health and Human Services, in: The Seventh Report of the Joint National Committee, (2004).

Google Scholar

[5] British Columbia Institute of Technology, in: Home Monitoring Technologies in the Community/Home Care Environment, (2006).

Google Scholar

[6] Information on http: /www. minifinity. com.

Google Scholar

[7] Information on http: /www. cruizcore. com.

Google Scholar