Real-time hand gesture recognition in FPGA

Jagdish Lal Raheja; Shriram Subramaniyam; Ankit Chaudhary

doi:10.1016/j.ijleo.2016.07.016

Real-time hand gesture recognition in FPGA

Jagdish Lal Raheja
, Shriram Subramaniyam
, Ankit Chaudhary

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Optik
Volume	127
DOIs	https://doi.org/10.1016/j.ijleo.2016.07.016
State	Published - Oct 1 2016
Externally published	Yes

Disciplines

Electrical and Computer Engineering
Physics
Optics

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10.1016/j.ijleo.2016.07.016License: Unspecified

Cite this

@article{04f64c75349f4e8393828de01ed3a535,

title = "Real-time hand gesture recognition in FPGA",

author = "Raheja, \{Jagdish Lal\} and Shriram Subramaniyam and Ankit Chaudhary",

note = "Hand Gesture has been used in different applications and also implemented on different platforms. A faster and smooth approach with reasonable accuracy is always needed to make smart devices smarter and faster. This paper describes a novel procedure of hand gesture recognition using Principal Component Analysis (PCA) implemented in FPGA Simulator.",

year = "2016",

month = oct,

day = "1",

doi = "10.1016/j.ijleo.2016.07.016",

language = "American English",

volume = "127",

journal = "Optik",

}

TY - JOUR

T1 - Real-time hand gesture recognition in FPGA

AU - Raheja, Jagdish Lal

AU - Subramaniyam, Shriram

AU - Chaudhary, Ankit

N1 - Hand Gesture has been used in different applications and also implemented on different platforms. A faster and smooth approach with reasonable accuracy is always needed to make smart devices smarter and faster. This paper describes a novel procedure of hand gesture recognition using Principal Component Analysis (PCA) implemented in FPGA Simulator.

PY - 2016/10/1

Y1 - 2016/10/1

UR - https://www.sciencedirect.com/science/article/pii/S0030402616307847

U2 - 10.1016/j.ijleo.2016.07.016

DO - 10.1016/j.ijleo.2016.07.016

M3 - Article

VL - 127

JO - Optik

JF - Optik

ER -

Real-time hand gesture recognition in FPGA

Disciplines

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