4 citations · 8 across the 5 of their papers we have counts for
7 papers
A Comparison of Deep Learning Models for the Prediction of Hand Hygiene Videos
Rashmi Bakshi
This paper presents a comparison of various deep learning models such as Exception, Resnet-50, and Inception V3 for the classification and prediction of hand hygiene gestures, whic…
WHO-Hand Hygiene Gesture Classification System
Rashmi Bakshi
The recent ongoing coronavirus pandemic highlights the importance of hand hygiene practices in our daily lives, with governments and worldwide health authorities promoting good han…
Hand Hygiene Video Classification Based on Deep Learning
Rashmi Bakshi
In this work, an extensive review of literature in the field of gesture recognition carried out along with the implementation of a simple classification system for hand hygiene sta…
Feature Identification and Matching for Hand Hygiene Pose
Rashmi Bakshi
Three popular feature descriptors of computer vision such as SIFT, SURF, and ORB compared and evaluated. The number of correct features extracted and matched for the original hand…
Tracking Hand Hygiene Gestures with Leap Motion Controller
Rashmi Bakshi, Jane Courtney, Damon Berry +1
The process of hand washing, according to the WHO, is divided into stages with clearly defined two handed dynamic gestures. In this paper, videos of hand washing experts are segmen…
Hand Pose Classification Based on Neural Networks
Rashmi Bakshi
In this work, deep learning models are applied to a segment of a robust hand-washing dataset that has been created with the help of 30 volunteers. This work demonstrates the classi…