Emerging wearable interfaces and algorithms for hand gesture recognition: A survey

S Jiang, P Kang, X Song, BPL Lo… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

A review of hand gesture recognition systems based on noninvasive wearable sensors

R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …

Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays

Z Zhou, K Chen, X Li, S Zhang, Y Wu, Y Zhou… - Nature …, 2020 - nature.com
Signed languages are not as pervasive a conversational medium as spoken languages due
to the history of institutional suppression of the former and the linguistic hegemony of the …

[HTML][HTML] Full-fiber auxetic-interlaced yarn sensor for sign-language translation glove assisted by artificial neural network

R Wu, S Seo, L Ma, J Bae, T Kim - Nano-Micro Letters, 2022 - Springer
Yarn sensors have shown promising application prospects in wearable electronics owing to
their shape adaptability, good flexibility, and weavability. However, it is still a critical …

Advances in machine translation for sign language: approaches, limitations, and challenges

U Farooq, MSM Rahim, N Sabir, A Hussain… - Neural Computing and …, 2021 - Springer
Sign languages are used by the deaf community around the globe to communicate with one
another. These are gesture-based languages where a deaf person performs gestures using …

Stretchable, multifunctional epidermal sensor patch for surface electromyography and strain measurements

C Wang, M Cai, Z Hao, S Nie, C Liu… - Advanced Intelligent …, 2021 - Wiley Online Library
The concurrent collection of surface electromyography (sEMG) and strain signals is
important for many applications, such as human–machine interaction, sign language …

Mix & Match Machine Learning: An Ideation Toolkit to Design Machine Learning-Enabled Solutions

A Jansen, S Colombo - … of the Seventeenth International Conference on …, 2023 - dl.acm.org
Machine learning (ML) provides designers with a wide range of opportunities to innovate
products and services. However, the design discipline struggles to integrate ML knowledge …

A systematic review on systems-based sensory gloves for sign language pattern recognition: An update from 2017 to 2022

ZR Saeed, ZB Zainol, BB Zaidan, AH Alamoodi - IEEE Access, 2022 - ieeexplore.ieee.org
Sign language is the predominant mode of communication for the Hearing impaired
community. For the millions of people who suffer from hearing loss around the world …

An instrumented glove for recognition of Brazilian sign language alphabet

TS Dias, JJAM Júnior, SF Pichorim - IEEE sensors journal, 2021 - ieeexplore.ieee.org
This paper presents the development and analysis of a system for Brazilian Sign Language
(Libras) recognition, which is composed of an instrumented glove and an acquisition system …

[PDF][PDF] Wearable IOT based Malaysian sign language recognition and text translation system

K Van Murugiah, G Subhashini, R Abdulla - J. Appl. Technol. Innov, 2021 - academia.edu
Sign language recognition devices are gaining tremendous attention in recent years for
helping speech and hearing-impaired community. The idea of fusing technology and sign …