A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring

NK Mangal, AK Tiwari - Computers in Biology and Medicine, 2021 - Elsevier
The human musculoskeletal (MSK) system (also known as the locomotor system) provides
strength and assistance to perform functional tasks and daily life activities. The MSK health …

A Computer Vision‐Based System for Recognition and Classification of Urdu Sign Language Dataset for Differently Abled People Using Artificial Intelligence

H Zahid, SA Syed, M Rashid, S Hussain… - Mobile Information …, 2023 - Wiley Online Library
Communication between normal people and deaf people is the most difficult part of daily life
worldwide. It is difficult for a normal person to understand a word from the deaf one in their …

Sensors energy optimization for renewable energy-based WBANS on sporadic elder movements

AS Rajawat, SB Goyal, P Bedi, C Verma, CO Safirescu… - Sensors, 2022 - mdpi.com
The world is advancing to a new era where a new concept is emerging that deals with
“wirelessness”. As we know, renewable energy is the future, and this research studied the …

Novel error correction-based key frame extraction technique for dynamic hand gesture recognition

S Bharti, A Balmik, A Nandy - Neural Computing and Applications, 2023 - Springer
Before languages came into existence, sign language was the mode of communication. For
human–computer interaction, recognizing these sign languages is vital; thus, hand gesture …

[Retracted] Construction of a Digital Elderly Care Service System Based on Human‐Computer Interaction from the Perspective of Smart Elderly Care

Y Zhou - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Digital elderly care service is an innovative elderly care model, and its emergence has
brought about a huge change in the field of elderly care services (ECSS). The current …

Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition From Video Sequences

F Al Farid, N Hashim, J Abdullah, MR Bhuiyan… - IEEE …, 2024 - ieeexplore.ieee.org
With an increasing number of people on the planet today, innovative human-computer
interaction technologies and approaches may be employed to assist individuals in leading …

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 …

Inferring in-air gestures in complex indoor environment with less supervision

Z Deng, Q Zhou, J Xing, Q Yang, Y Chen… - Pervasive and Mobile …, 2024 - Elsevier
People have high demands for comfort and technology in indoor environments. Gestures, as
a natural and friendly human computer interaction (HCI) method, have received widespread …

Application of traditional Chinese elements in visual communication design based on somatosensory interaction parameterisation

J Zhang, J Guo - Scientific Programming, 2022 - Wiley Online Library
In recent years, the interdisciplinary exploration of combining traditional visual
communication design with somatosensory interaction technology has become a new form …

Optimal video handling in on-line hand gesture recognition using deep neural networks

D Makrygiannis, C Papaioannidis… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Deep Neural Networks (DNNs) are machine learning models with a myriad of uses, such as
enabling tools that support professional workers or facilitating new modes of human …