The recent ongoing coronavirus pandemic highlights the importance of hand hygiene practices in our daily lives, with governments and worldwide health authorities promoting good practices. More than one million cases hospital-acquired infections occur Europe annually. Hand compliance may reduce risk transmission by reducing number as well healthcare expenditures. In this paper, World Health Orga...

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...

During past few years, human hand gesture for interaction with computing devices has continues to be active area of research. In this paper survey of hand gesture recognition is provided. Hand Gesture Recognition is contained three stages: Pre-processing, Feature Extraction or matching and Classification or recognition. Each stage contains different methods and techniques. In this paper define ...

This paper describes the design and implementation of the hand gesture recognizer system for controlling the hardware appliance in real time. FPGA based implementation proposed for hand tracking system includes the image preprocessing state and feature extraction state that consists of bounding box and Center-Of-Mass based computation. Through the features extraction state, the object’s Center-...

A method to obtain accurate hand gesture classification and fingertip localization from depth images is proposed. The Oriented Radial Distribution feature is utilized, exploiting its ability to globally describe hand poses, but also to locally detect likely fingertip positions. Hence, hand gesture and fingertip locations are characterized with a single feature calculation. We propose to divide ...

This paper presents a novel technique for hand gesture recognition through human–computer interaction based on shape analysis. The main objective of this effort is to explore the utility of a neural network-based approach to the recognition of the hand gestures. A unique multi-layer perception of neural network is built for classification by using backpropagation learning algorithm. The goal of...