Abstract:Communication is one of human basic necessity. People with disabilities usually use sign language to communicate with others. The study identifies the alphabet letters from the finger spelling based on American Sign Language (ASL) standard. The bending sensors were attached to three fingers of spelling glove where the bending movement of each finger contributes different resistance value of the bending sensors. The combinations of resistance value from each finger were detected from microcontroller's library a… Show more
“…The change in resistance of flex sensors was fed into the Arduino Nano to implement the template matching algorithm in order to recognize the specific gesture and prerecorded audio command that was stored in the Secure Digital (SD) memory card; this was then transmitted through a speaker and display the text through a 16 × 2 LCD display [ 68 ]. The hardware structure of [ 63 ] consists of three flex sensors, an INA 126 instrumentation amplifier, an analog-to-digital converter (ADC), a 16F877A microcontroller, and an LCD. The sensors were placed on three fingers, namely, the ring, middle, and index fingers, to identify the letters of the alphabet from the finger spelling of ASL.…”
Section: The Analysis Resultsmentioning
confidence: 99%
“…Thus, the availability of reliable and accessible data has an important impact on helping researchers conduct hassle-free data collection. The benefit of using pre-existing data is to save time and effort and to be accurate when relying on reliable data [ 63 ]. Two-way communication: At present, the electronics market is provided with various SLR devices to support the abled individuals.…”
Section: Discussionmentioning
confidence: 99%
“…The main device adopted by researchers as the output was the screen of computer [ 3 , 4 , 35 , 40 , 48 , 60 , 61 , 62 ]. Other devices attracting the attention of researchers are the liquid-crystal display (LCD) [ 12 , 35 , 57 , 63 ], speaker [ 38 , 46 , 54 , 64 ], or both [ 6 , 51 , 55 , 65 , 66 , 67 , 68 ]. Ultimately, the smartphone is another alternative chosen for system output [ 9 , 42 , 48 , 59 , 69 ].…”
Section: Methodsmentioning
confidence: 99%
“…Hidden Markov Models (HMMs) is a popular technique that has shown its potential in numerous applications such as computer vision, speech recognition, molecular biology, and SLR [ 53 , 73 , 74 , 75 , 76 ]. Besides the HMM, the KNN is also used to classify hand gestures [ 63 ], and the KNN classifier with support vector machines (SVM) has been applied in posture classification in [ 77 ]. The KNN is applied in work on the recognition of ASL signs [ 40 ].…”
Loss of the ability to speak or hear exerts psychological and social impacts on the affected persons due to the lack of proper communication. Multiple and systematic scholarly interventions that vary according to context have been implemented to overcome disability-related difficulties. Sign language recognition (SLR) systems based on sensory gloves are significant innovations that aim to procure data on the shape or movement of the human hand. Innovative technology for this matter is mainly restricted and dispersed. The available trends and gaps should be explored in this research approach to provide valuable insights into technological environments. Thus, a review is conducted to create a coherent taxonomy to describe the latest research divided into four main categories: development, framework, other hand gesture recognition, and reviews and surveys. Then, we conduct analyses of the glove systems for SLR device characteristics, develop a roadmap for technology evolution, discuss its limitations, and provide valuable insights into technological environments. This will help researchers to understand the current options and gaps in this area, thus contributing to this line of research.
“…The change in resistance of flex sensors was fed into the Arduino Nano to implement the template matching algorithm in order to recognize the specific gesture and prerecorded audio command that was stored in the Secure Digital (SD) memory card; this was then transmitted through a speaker and display the text through a 16 × 2 LCD display [ 68 ]. The hardware structure of [ 63 ] consists of three flex sensors, an INA 126 instrumentation amplifier, an analog-to-digital converter (ADC), a 16F877A microcontroller, and an LCD. The sensors were placed on three fingers, namely, the ring, middle, and index fingers, to identify the letters of the alphabet from the finger spelling of ASL.…”
Section: The Analysis Resultsmentioning
confidence: 99%
“…Thus, the availability of reliable and accessible data has an important impact on helping researchers conduct hassle-free data collection. The benefit of using pre-existing data is to save time and effort and to be accurate when relying on reliable data [ 63 ]. Two-way communication: At present, the electronics market is provided with various SLR devices to support the abled individuals.…”
Section: Discussionmentioning
confidence: 99%
“…The main device adopted by researchers as the output was the screen of computer [ 3 , 4 , 35 , 40 , 48 , 60 , 61 , 62 ]. Other devices attracting the attention of researchers are the liquid-crystal display (LCD) [ 12 , 35 , 57 , 63 ], speaker [ 38 , 46 , 54 , 64 ], or both [ 6 , 51 , 55 , 65 , 66 , 67 , 68 ]. Ultimately, the smartphone is another alternative chosen for system output [ 9 , 42 , 48 , 59 , 69 ].…”
Section: Methodsmentioning
confidence: 99%
“…Hidden Markov Models (HMMs) is a popular technique that has shown its potential in numerous applications such as computer vision, speech recognition, molecular biology, and SLR [ 53 , 73 , 74 , 75 , 76 ]. Besides the HMM, the KNN is also used to classify hand gestures [ 63 ], and the KNN classifier with support vector machines (SVM) has been applied in posture classification in [ 77 ]. The KNN is applied in work on the recognition of ASL signs [ 40 ].…”
Loss of the ability to speak or hear exerts psychological and social impacts on the affected persons due to the lack of proper communication. Multiple and systematic scholarly interventions that vary according to context have been implemented to overcome disability-related difficulties. Sign language recognition (SLR) systems based on sensory gloves are significant innovations that aim to procure data on the shape or movement of the human hand. Innovative technology for this matter is mainly restricted and dispersed. The available trends and gaps should be explored in this research approach to provide valuable insights into technological environments. Thus, a review is conducted to create a coherent taxonomy to describe the latest research divided into four main categories: development, framework, other hand gesture recognition, and reviews and surveys. Then, we conduct analyses of the glove systems for SLR device characteristics, develop a roadmap for technology evolution, discuss its limitations, and provide valuable insights into technological environments. This will help researchers to understand the current options and gaps in this area, thus contributing to this line of research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.