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Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization.
Sci Rep
January 2025
University Institute of Computing, Chandigarh University, Punjab, India.
Automatic Sign Language Recognition Systems (ASLR) offers smooth communication between hearing-impaired and normal-hearing individuals, enhancing educational opportunities for impaired. However, it struggles with "curse of dimensionality" due to excessive features resulting in prolonged training time and exhaustive computational demand. This paper proposes technique that integrates machine learning and swarm intelligence to effectively address this issue.
View Article and Find Full Text PDFEMG Dataset for Gesture Recognition with Arm Translation.
Sci Data
January 2025
School of Informatics, The University of Edinburgh, Edinburgh, EH8 9AB, United Kingdom.
Myoelectric control has emerged as a promising approach for a wide range of applications, including controlling limb prosthetics, teleoperating robots and enabling immersive interactions in the Metaverse. However, the accuracy and robustness of myoelectric control systems are often affected by various factors, including muscle fatigue, perspiration, drifts in electrode positions and changes in arm position. The latter has received less attention despite its significant impact on signal quality and decoding accuracy.
View Article and Find Full Text PDFWhat Do We Know About Speech-Language-Hearing Practice in Vocal Care for Transgender People? A Scoping Review.
J Voice
January 2025
School of Medicine - University of São Paulo (FM-USP), Speech Therapy, Physiotherapy and Occupational Therapy Department, São Paulo, São Paulo, Brazil. Electronic address:
Objective: To systematically assess the current state of speech-language-hearing (SLH) practices in health services addressing vocal care for transgender individuals, aiming to identify key themes and gaps in the existing body of knowledge.
Methods: This scoping review was based on the Joanna Briggs Institute manual and followed the recommendations of the Preferred Reporting Items for Systematic reviews and Meta-Analyses-Extension for Scoping Reviews. It was registered with the Open Science Framework Open Source 10.
The knowledge, experience, and awareness of professionals working with older adults on the auditory-cognitive interactions.
J Commun Disord
December 2024
Department of Rehabilitation Sciences, Ghent University, Corneel Heymanslaan 10 (2P1), Ghent 9000, Belgium; Department of Oto-rhino-laryngology, Ghent University Hospital, Corneel Heymanslaan 10 (2P1), Ghent 9000, Belgium.
Introduction: Hearing loss is a commonly occurring condition with dementia. Research already presented a theoretical framework for the auditory-cognitive interactions, though it is still unclear if and how professionals beyond audiologists act upon this interactions in clinical practice.
Methods: An online 64-item questionnaire was developed and evaluated respondents' work setting as well as their knowledge, experience, and awareness regarding hearing loss, cognitive decline, and the auditory-cognitive link.
Explainable human-centered traits from head motion and facial expression dynamics.
PLoS One
January 2025
Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia.
We explore the efficacy of multimodal behavioral cues for explainable prediction of personality and interview-specific traits. We utilize elementary head-motion units named kinemes, atomic facial movements termed action units and speech features to estimate these human-centered traits. Empirical results confirm that kinemes and action units enable discovery of multiple trait-specific behaviors while also enabling explainability in support of the predictions.
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