Human body IoT systems based on the triboelectrification effect: energy harvesting, sensing, interfacing and communication
In recent years, the internet of things (IoT) has been progressing rapidly with the integration
of technologies in various fields. At this stage, triboelectric nanogenerator (TENG) …
of technologies in various fields. At this stage, triboelectric nanogenerator (TENG) …
Emerging wearable interfaces and algorithms for hand gesture recognition: A survey
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 …
that impede hand function can significantly affect quality of life. Wearable hand gesture …
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 …
to the history of institutional suppression of the former and the linguistic hegemony of the …
Full-fiber auxetic-interlaced yarn sensor for sign-language translation glove assisted by artificial neural network
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 …
their shape adaptability, good flexibility, and weavability. However, it is still a critical …
American sign language recognition and training method with recurrent neural network
Though American sign language (ASL) has gained recognition from the American society,
few ASL applications have been developed with educational purposes. Those designed …
few ASL applications have been developed with educational purposes. Those designed …
Wearable sensor-based sign language recognition: A comprehensive review
Sign language is used as a primary form of communication by many people who are Deaf,
deafened, hard of hearing, and non-verbal. Communication barriers exist for members of …
deafened, hard of hearing, and non-verbal. Communication barriers exist for members of …
Korean sign language recognition using transformer-based deep neural network
Sign language recognition (SLR) is one of the crucial applications of the hand gesture
recognition and computer vision research domain. There are many researchers who have …
recognition and computer vision research domain. There are many researchers who have …
Quantitative survey of the state of the art in sign language recognition
O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …
papers with over 400 experimental results. It includes most papers between the start of the …
American sign language recognition using leap motion controller with machine learning approach
Sign language is intentionally designed to allow deaf and dumb communities to convey
messages and to connect with society. Unfortunately, learning and practicing sign language …
messages and to connect with society. Unfortunately, learning and practicing sign language …
Multi-features capacitive hand gesture recognition sensor: A machine learning approach
Gesture recognition technology enables machines to understand human gestures. The
technology is considered as a key enabler for gaming and virtual reality applications. In this …
technology is considered as a key enabler for gaming and virtual reality applications. In this …