Results 51 to 60 of about 4,892 (216)
ABSTRACT Background and Purpose Accurate assessment of upper limb motor function is critical for guiding effective rehabilitation strategies in stroke survivors. The Fugl‐Meyer Assessment for Upper Extremity (FMA‐UE) is a widely used clinical tool, yet it is time‐consuming and subject to inter‐patient variability.
Júlia Tannús de Souza +4 more
wiley +1 more source
Recognizing Indian Sign Language (ISL) gestures effectively is crucial for improving communication accessibility for deaf community. This study introduces an innovative approach that integrates a Sequential Long Short-Term Memory (LSTM) model with ...
Prachi Rawat +3 more
semanticscholar +1 more source
Vision‐Based Handover and Organization of Robotic Scrub Nurse for Seamless Surgical Flow
This study presents a pose estimation‐based robotic scrub nurse (PERSN) that assists surgical procedures by estimating the surgeon's hand position, orientation, and grasping state, along with the constraint‐based 6D pose of surgical instruments. User evaluations show that PERSN provides greater immediate usability and reduces physical demand compared ...
Seongjoon Kang +9 more
wiley +1 more source
Sign language is a vital communication medium for individuals with hearing and speech impairments. In Indonesia, more than 2.6 million people experience hearing disabilities, most of whom rely on Bahasa Isyarat Indonesia BISINDO for daily interaction ...
Alief Khairul Fadzli, Majid Rahardi
doaj +1 more source
Classification of Pilates Using MediaPipe and Machine Learning
Pilates has established itself as a powerful instrument for a particular kind of rehabilitation therapy. Pilates can benefit people at all stages of life, especially in terms of lowering pain and disability, through enhancing physical performance and condition.
Mengjiao Zhao, Nike Lu, Yifeng Guan
openaire +2 more sources
Interpreting Sign Language Recognition using Transformers and MediaPipe Landmarks
Sign Language Recognition (SLR) is a challenging task that aims to bridge the communication gap between the deaf and hearing communities. In recent years, deep learning-based approaches have shown promising results in SLR. However, the lack of interpretability remains a significant challenge.
Cristina Luna Jiménez +4 more
openaire +2 more sources
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain +7 more
wiley +1 more source
Indonesian Sign Language Application Using Mediapipe and Gated Recurrent Unit in Real Time
Indonesian Sign Language (BISINDO) is a natural communication tool for the deaf community. However, the communication gap between signers and the general public remains a challenge due to the dynamic nature of sign language.
Adi Triswantoro +2 more
doaj +1 more source
Motion analysis is an area with several applications for health, sports, and entertainment. The high cost of state-of-the-art equipment in the health field makes it unfeasible to apply this technique in the clinics’ routines.
Thiago Buarque de Gusmão Lafayette +7 more
doaj +1 more source
Evaluating Idle Animation Believability: A User Perspective
This work demonstrates that there is no perceptual difference between genuine and acted idle motion. The first dataset containing these idle animations is also provided. ABSTRACT Animating realistic avatars requires using high‐quality animations for every possible state the avatar can be in.
Eneko Atxa Landa +4 more
wiley +1 more source

