Pose tutor: an explainable system for pose correction in the wild

B Dittakavi, D Bavikadi, SV Desai… - Proceedings of the …, 2022 - openaccess.thecvf.com
Under the new norm of working from home, demand for fitness from home is on the rise.
Different exercise forms solve different fitness needs for different people. Yoga gives …

In-situ enhanced anchor-free deep CNN framework for a high-speed human-machine interaction

SR Bose, VS Kumar, C Sreekar - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract Human-Robot Interaction (HRI) constitutes a demanding research field that
integrates artificial intelligence, informatics, robotics, engineering, and human-machine …

HGR-FYOLO: a robust hand gesture recognition system for the normal and physically impaired person using frozen YOLOv5

A Sen, S Dombe, TK Mishra, R Dash - Multimedia Tools and Applications, 2024 - Springer
Hand gesture recognition is important in human-machine interaction (HMI), enabling
interaction with the systems without physically touching them. But current methodologies …

CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction

B Dittakavi, B Callepalli, A Vardhan… - Proceedings of the …, 2024 - openaccess.thecvf.com
With increasing popularity of home-based fitness regimen post-pandemic, there has been a
growing interest in fitness monitoring solutions. Owing to this, human pose monitoring has …

[PDF][PDF] An end-to-end Thai fingerspelling recognition framework with deep convolutional neural networks

S Lata, O Surinta - ICIC Express Letters, 2022 - researchgate.net
The WHO reports that approximately 34 million people worldwide experience deafness and
hearing loss. In 2050, these will increase to affect 900 million people. It is essential to …

Positioning the 5-DOF robotic arm using single stage deep CNN model

C Sreekar, VS Sindhu… - … conference on Bio …, 2021 - ieeexplore.ieee.org
In teleoperation mechanism, the surgical robots are controlled using hand gestures from
remote location. The remote location robotic arm control using hand gesture recognition is a …

Hand Gesture Recognition for Controlling Game Objects Using Two-Stream Faster Region Convolutional Neural Networks Methods

RA Muchtar, R Yuniarti… - … Conference on Information …, 2022 - ieeexplore.ieee.org
Hand gesture recognition is part of Human-Computer Interaction as a place for the user
interface to be presented. Hand gestures have symbols that can be interpreted as …

In-situ identification and recognition of multi-hand gestures using optimized deep residual network

S Rubin Bose… - Journal of Intelligent & …, 2021 - content.iospress.com
The real-time perception of hand gestures in a deprived environment is a demanding
machine vision task. The hand recognition operations are more strenuous with different …

Precise Recognition of Vision Based Multi-hand Signs Using Deep Single Stage Convolutional Neural Network

S Rubin Bose, V Sathiesh Kumar - … 2020, Prayagraj, India, December 4-6 …, 2021 - Springer
The precise recognition of multi-hand signs in real-time under dynamic backgrounds,
illumination conditions is a time consuming process. In this paper, a time efficient single …

Precise Hand Gesture Recognition under Hard Visual Environments using Deep Architecture

SR Bose, VS Kumar - SN Computer Science, 2024 - Springer
Hand gesture recognition is a way of capturing and translating the human signs into
commands utilizing a visual interface. In this paper, You Only Look Once (Yolo) based deep …