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 …
Sign language recognition using the electromyographic signal: a systematic literature review
The analysis and recognition of sign languages are currently active fields of research
focused on sign recognition. Various approaches differ in terms of analysis methods and the …
focused on sign recognition. Various approaches differ in terms of analysis methods and the …
Wearsign: Pushing the limit of sign language translation using inertial and emg wearables
Sign language translation (SLT) is considered as the core technology to break the
communication barrier between the deaf and hearing people. However, most studies only …
communication barrier between the deaf and hearing people. However, most studies only …
Evaluating sign language recognition using the myo armband
JG Abreu, JM Teixeira, LS Figueiredo… - … XVIII symposium on …, 2016 - ieeexplore.ieee.org
The successful recognition of sign language gestures by computer systems would greatly
improve communications between the deaf and the hearers. This work evaluates the usage …
improve communications between the deaf and the hearers. This work evaluates the usage …
MyoSign: enabling end-to-end sign language recognition with wearables
Automatic sign language recognition is an important milestone in facilitating the
communication between the deaf community and hearing people. Existing approaches are …
communication between the deaf community and hearing people. Existing approaches are …
Real-time Indian sign language (ISL) recognition
This paper presents a system which can recognise hand poses & gestures from the Indian
Sign Language (ISL) in real-time using grid-based features. This system attempts to bridge …
Sign Language (ISL) in real-time using grid-based features. This system attempts to bridge …
A framework and call to action for the future development of EMG-based input in HCI
Electromyography (EMG) has been explored as an HCI input modality following a long
history of success for prosthesis control. While EMG has the potential to address a range of …
history of success for prosthesis control. While EMG has the potential to address a range of …
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 …
sign languages every day. In the same way that voice recognition provides a simple …
A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors
Sign languages has extensive applications among differently-abled to communicate with
their surroundings. With the development of different sensing technologies, several new …
their surroundings. With the development of different sensing technologies, several new …
Automatic recognition of the American sign language fingerspelling alphabet to assist people living with speech or hearing impairments
Sign languages are natural languages used mostly by deaf and hard of hearing people.
Different development opportunities for people with these disabilities are limited because of …
Different development opportunities for people with these disabilities are limited because of …