Comparing ANN, SVM, and HMM based machine learning methods for American sign language recognition using wearable motion sensors

R Fatmi, S Rashad, R Integlia - 2019 IEEE 9th annual …, 2019 - ieeexplore.ieee.org
Millions of people with speech and hearing impairments, worldwide, communicate through
sign languages every day. In the same way that voice recognition provides a simple …

Effects of Early ASL Exposure on Fingerspelling Accuracy in Deaf Adults

ST Kulsar, BC Seal - Sign Language Studies, 2022 - JSTOR
D/deaf children of Deaf parents reportedly begin learning finger-spelling as young as
thirteen months old, but deaf children born to hearing, nonsigning parents lack natural …

Novel Wearable System to Recognize Sign Language in Real Time

İ Umut, ÜC Kumdereli - 2024 - preprints.org
The aim of this study is to develop a software solution for real-time recognition of sign
language words using two arms. This will enable communication between hearing-impaired …

[图书][B] Investigating the Effects of Mouthings and Hand Placement on Fingerspelling Accuracy in Deaf Adults

ST Kulsar - 2019 - search.proquest.com
Forty-four D/deaf adults, having completed or currently pursuing a post-secondary degree,
participated in a fingerspelling test of decoding-encoding pseudowords presented by a …

[引用][C] Reconocimiento automático de configuraciones manuales propias de las lenguas de señas

AE Stassi Danielli - 2019