scispace - formally typeset
Proceedings ArticleDOI

Low-Cost Gesture Detector Using Neural Networks

Reads0
Chats0
TLDR
This project proposes a novel low cost approach to gesture recognition using neural networks for end user applications control in contrary to more expensive devices prevalent in the market.
Abstract
This project proposes a novel low cost approach to gesture recognition using neural networks for end user applications control in contrary to more expensive devices prevalent in the market. The final outcome is proposed to be a versatile product with variety of applications which can cater to many user needs. In fact, a person with minimal programming knowledge can design an application with the proposed and prototyped device. The use of neural networks has made this possible, as the pattern recognition of neural networks is highly accurate than conventional programming.

read more

References
More filters
Journal ArticleDOI

A Prototype for 3-D Hand Tracking and Posture Estimation

TL;DR: This paper explains the experience in designing a prototype for 3-D hand tracking and dynamic gesture recognition and presents a road map for future development to reach the final goal.
Proceedings ArticleDOI

Hand gesture detection and recognition using principal component analysis

TL;DR: This paper presents a real time system, which includes detecting and tracking bare hand in cluttered background using skin detection and hand postures contours comparison algorithm after face subtraction, and recognizing hand gestures using Principle Components Analysis (PCA).
Journal ArticleDOI

2011 Special Issue: LVQ algorithm with instance weighting for generation of prototype-based rules

TL;DR: This paper introduces prototype initialization based on context dependent clustering and modification of the LVQ cost function that utilizes additional information about class-dependent distribution of training vectors.
Related Papers (5)