Design and prototyping of a robotic hand for sign language using locally-sourced materials

Adeyanju, Ibrahim; Alabi, Sheriffdeen O.; Esan, Adebimpe; Omodunbi, Bolaji A.; Bello, Oluwaseyi O.; Fanijo, Samuel

doi:10.1016/j.sciaf.2022.e01533

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…The pattern obtained is then processed with the help of our machine learning model which predicts the alphabet that was gestured. Once the prediction is made the fingers of the robotic hand move to their respective positions to represent that particular alphabet [11].…”

Section: ) Dependency On Alphabet Detectionmentioning

confidence: 99%

ASL Detection and Gesture Based Control of Robotic Hand Using Image Processing

Kolli,

Nair,

Thunnoly

et al. 2023

Preprint

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ASL has been used by deaf people all over the world as a means of communication. The problem arises in the interpretation of the gestures to a person who is unaware of the language. The project intends to develop a real-time ASL interpretation system that is affordable, effective, and might even be used as a teaching tool. It also provides a suitable gesture recognizer which will facilitate a better understanding for the user.. In this project, we have proposed a methodology which will act as a dynamic interpreter by utilizing machine learning and computer vision techniques to enhance the efficiency and decrease the time constraint of the message detection. Along with the real time recognition of hand gestures, we have also used a robotic hand to replicate those gestures using two different methods. The first method that replicates the gesture based on the prediction made by the machine learning model and the later which replicates the gestures in real time based on the positions of finger landmarks. Using the second method we were able to bring out a faster response

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Section: ) Dependency On Alphabet Detectionmentioning

confidence: 99%

ASL Detection and Gesture Based Control of Robotic Hand Using Image Processing

Kolli,

Nair,

Thunnoly

et al. 2023

Preprint

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show abstract

“…The only drawback of this study is that the door security design is still a prototype, so it is necessary to develop it for further research [9]. An environmental security system will be sound if every house in the neighborhood has a good security system [10]. This will minimize the space for crime in the area so that every crime that arises can be detected early [11].…”

Section: Introductionmentioning

confidence: 99%

Design of Smart Locker Door Using Quality Function Deployment Based on ATMega 2560 Microcontroller

Filhaq,

Aprianto,

Alfianto

2023

JURIT

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Smart Locker system to provide more security for the house that is a place to live to avoid losses and negative impacts of criminal case actions with incrimination. This study designed door security with a door bar control system that can be done from outside the house using Android and a keypad so that the bar behind the door automatically closes and opens according to the password code command entered by the user or homeowner. Consumer desires home security systems using the QFD (Quality Function Deployment) method. The QFD method will conclude that a better door security product design is needed, with home security system updates as needed. Consumers need thirteen dimensions with three priorities with the highest value, namely securing the door of the house with a shape that matches the door with a rating of 4.55, Securing the door of the house has an alarm system with a rating of 4.50, Securing the door of the house is easy to use for the owner. The intelligent locker design is based on ATMega 2560 Microcontroller, which functions to program other components so that they can work according to the data that has been inputted

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Indian Sign Language Recognition: A Comparative Study

Bormane¹,

Shirbahadurkar²

2023

Lecture Notes in Networks and Systems

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Design and prototyping of a robotic hand for sign language using locally-sourced materials

Cited by 6 publications

References 3 publications

ASL Detection and Gesture Based Control of Robotic Hand Using Image Processing

ASL Detection and Gesture Based Control of Robotic Hand Using Image Processing

Design of Smart Locker Door Using Quality Function Deployment Based on ATMega 2560 Microcontroller

Indian Sign Language Recognition: A Comparative Study

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