Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL

Ahmed, Syed Shahbaaz; Gokul, H; Suresh, P.; Vijayaraghavan, Vineeth

doi:10.1109/ithings/greencom/cpscom/smartdata.2019.00185

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…These features were passed through a support vector machines (SVM) based classifier to recognize the gesture made. In [19] and [20] gesture recognition algorithm is devised which checks for contact sensor if they provide a similar gesture. if the gesture is not found, the code looks for any resemblance regarding the flex sensors.…”

Section: Resultsmentioning

confidence: 99%

A review of factors that impact the design of a glove based wearable devices

Al-Khatib

Sheikh

2023

IJ-AI

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Loss of the capability to talk or hear applies psychological and social effects on the affected individuals due to the absence of appropriate interaction. Sign Language is used by such individuals to assist them in communicating with each other. The paper aims to report details of various aspects of wearable healthcare technologies designed in recent years based on the aim of the study, the types of technologies being used, accuracy of the system designed, data collection and storage methods, technology used to accomplish the task, limitations and future research suggested for the study. The aim of the study is to compare the differences between the papers. There is also comparison of technology used to determine which wearable device is better, which is also done with the help of accuracy. The limitations and future research help in determining how the wearable devices can be improved. A systematic review was performed based on a search of the literature. A total of 23 articles were retrieved. The articles are study and design of various wearable devices, mainly the glove-based device, to help you learn the sign language.

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Section: Resultsmentioning

confidence: 99%

A review of factors that impact the design of a glove based wearable devices

Al-Khatib

Sheikh

2023

IJ-AI

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“…It utilized a k-nearest neighbors (KNN) algorithm to increase the efficiency of the system to 91.54%. Ahmed et al [17] and Arif et al [18] designed a glove with contact sensors, flex sensors and inertial sensor. This framework achieved an accuracy of 92% using a gesture recognition algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Glove based wearable devices for sign language-GloSign

Al-Khatib

Sheikh

Oroumchian

2023

IJ-AI

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Loss of the capability to talk or hear has psychological and social effects on the affected individuals due to the absence of appropriate interaction. Sign Language is used by such individuals to assist them in communicating with each other. This paper proposes a glove called GloSign that can convert American sign language to characters. This glove consists of flex and inertial measurement unit (IMU) sensors to identify gestures. The data from glove is uploaded on IoT platform, which makes the glove portable and wireless. The data from gloves is passed through a k-nearest neighbors (KNN) Algorithm machine learning algorithm to improve the accuracy of the system. The system was able to achieve an accuracy of 96.8%. The glove can also be used to form sentences. The output is displayed on the screen or is converted to speech. This glove can be used in communicating with people who don’t know sign language.

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“…This had been the impetus towards the motivation to find a low-cost, affordable device, that can translate the sign language into an oral language, to enable independent communication and movement for the speech/hearing impaired people in society [20], [28], [29]. The glove-based system requires low-cost hardware, making it affordable for the users [30], [31], [32]. Another benefit of the glove-based technique is in its wearability, in which case the glove can be worn by anyone whose hand can fit the glove [33], [34].In addition to that is in its portability [35], [36], the sensory glove can wirelessly transfer data through the use of Bluetooth and needs no wired link to the device so that the user can port the glove and use it anytime and wherever the user likes [35], [37].…”

Section: ) Benefits Of Using a Glove-based Systemmentioning

confidence: 99%

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

et al. 2022

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Sign language is the predominant mode of communication for the Deaf community. For the millions of people who suffer from hearing loss around the world, interaction with people who have the ability to hear and do not suffer from hearing impairment or loss is considered as complicated. In line with this issue, technology is perceived as a crucial factor in being an enabler of providing solutions to enhance the quality of life of the Deaf and people with hearing impairment by increasing accessibility. This research aims to review and analyze articles related to sign language recognition based on the sensor-based glove system, in order to identify academic motivations, challenges, and recommendations related to this field. The search for the relevant review materials and articles was performed on four major databases ranging from 2017 to 2022: Science Direct, Web of Science, IEEE Xplore, and Scopus. The articles were chosen based on our inclusion and exclusion criteria. The literature findings of this paper indicate the dataset size to be open issues and challenges for hand gesture recognition. Furthermore, the majority of research on sign language recognition based on data glove was performed on static, single hand, and isolated gestures. Moreover, recognition accuracy typically achieved results higher than 90%. However, most experiments were carried out with a limited number of gestures. Overall, it is hoped that this study will serve as a roadmap for future research and raise awareness among researchers in the field of sign language recognition.

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Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL

Cited by 4 publications

References 9 publications

A review of factors that impact the design of a glove based wearable devices

A review of factors that impact the design of a glove based wearable devices

Glove based wearable devices for sign language-GloSign

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

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