Survey on Vision based Hand Gesture Recognition

Shah, Pranit Gopaldas; Pandya, Krishna; Shah, Harsh; Gandhi, Jay

doi:10.26438/ijcse/v7i5.281288

Cited by 8 publications

(2 citation statements)

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“…The MediaPipe framework is composed of three main components: a framework for obtaining sensor data, an assessment of performance, and a set of reusable parts known as calculators. [4]. A pipeline is a graph made up of units called calculators, each of which is connected to other units via streams that allow data packets to pass through.…”

Section: 1hand Gesturementioning

confidence: 99%

Optical Gesture Recognition for Virtual Cursor Navigation

Mr. Suresh K,

Sanjay R,

Vinoth M

et al. 2024

Int Res J Adv Engg Hub

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In the rapidly evolving landscape of technology, there is a constant quest for innovations that set themselves apart. Gestures emerge as a highly coveted means of communication with machines. The significance of Human-Computer Interaction becomes evident when harnessing human gestures to govern computer applications. While conventional controls like mice, keyboards, and laser pointers have been commonplace, recent technological strides have introduced more effective techniques for application control. Numerous Gesture Recognition methods, leveraging image processing, have been explored in the past. However, the challenge of recognizing gestures in noisy backgrounds has persistently posed difficulties. In our proposed system, we intend to employ a technique known as Augmentation in Image processing to command a Media Player. This involves recognizing gestures to manipulate operations on the Media Player. Augmentation proves advantageous, particularly in the realm of virtual reality, as it is not constrained by background limitations. Additionally, it eliminates dependencies on specific accessories like gloves or color pointers for gesture recognition. The proposed system caters to users seeking a simplified and enhanced interaction with their computers.

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Section: 1hand Gesturementioning

confidence: 99%

Optical Gesture Recognition for Virtual Cursor Navigation

Mr. Suresh K,

Sanjay R,

Vinoth M

et al. 2024

Int Res J Adv Engg Hub

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“…Thus, vision-based methods that are contact-free and only require users to do some gestures are relatively easier. That's why they have been widely studied nowadays [3][4] [5].…”

Section: Introductionmentioning

confidence: 99%

Confidence-selective moving trace approximation using ellipse and line models for hand gesture recognition

Ding

2023

International Workshop on Advanced Imaging Technology (IWAIT) 2023

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Hand gestures play an important role in human-computer interaction (HCI) system. Areas of applications such as sign language recognition, virtual environment, video games and even surgery require people to interact with devices directly with hands. In this paper, we propose a vision-based system to deal with dynamic hand gesture recognition. We focus on 6 types of gestures: 4 directions for swipe and 2 orientations for rotation. The hand gesture can be identified based on the moving trace of the hand in different video frames. However, different from existing algorithms, the proposed method applies the techniques of ellipse and line approximation to well identify the moving trace and reduce the effect of noise. Moreover, the confidence of each frame is determined by the velocity and the continuity of the motion vector. The frame with less confidence will not be adopted in hand gesture approximation. We also develop a face-based skin region detection to adaptively choose a proper color model. The proposed system is hardware-efficient and can achieve a good accuracy.

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