Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches
Table 1
Research questions.
RQ#
Research question
Motivation
RQ1
What is the current status of smartphone-based sign language?
To study and map the current status of overall sign languages using smartphones as a device for detection and interpretation, especially in 2023
RQ2
How machine learning, deep learning, and lightweight deep learning techniques are used for the detection and interpretation of sign languages?
To study deep learning and lightweight deep learning techniques used for the detection and interpretation of sign languages
RQ3
What are the types of datasets used for sign language recognition?
To specify the different datasets, used for detection and interpretation of sign languages
RQ4
What are the most popular approaches for recognizing sign language?
To study and map the most popular approaches to sign language detection and interpretation
RQ5
Which sign languages are targeted?
To study the sign languages which are detected and interpreted
RQ6
What evaluation metrics are used in the experiments?
To study what metrics are used in the experiments of the sign languages
RQ7
Which models have demonstrated better performance for specific sign languages?
To summarize the performance of models in sign language recognition, specifically highlighting which models have demonstrated better performance for specific sign languages
