scholarly journals Rational Design of a Novel Smart Mobile Communication System for Arabian Deaf and Dumb

2019 ◽  
Author(s):  
Amal S. Eldesoky ◽  
Kamel Eid ◽  
Aboubakr M. Abdullah
Keyword(s):  
Rational Design ◽  
Recognition System ◽  
Second Step ◽  
Ordinary People ◽  
Communication Tool ◽  
Smart System ◽  
Normal People ◽  
Efficient Communication ◽  
Smart Mobile ◽  
Flex Sensors

The deaf impairment is among the most substantial health problem worldwide, that can lead to various personal, economical, and social crisis. Therefore, it is critical for developing an efficient way to facilitate communication between deaf-dumb impaired and normal people. Herein, we have rationally designed a new digitally computerized and mobile smart system as an efficient communication tool between deaf impaired and normal Arabian people. This is based on two main steps, including creating a digital output for the hand gestures using gloves flex sensors equipped with a three-axis accelerometer that is controlled using a microcontroller. The digital results are compared to that in a words-based “database”, where Arabs use expressions not alphabet in their communication. The second step is translation or conversion the outputs of the first stage into written texts and voices. The newly developed system allows Arabian deaf to translate words of ordinary people into gestures using a speech recognition system with an impressive accuracy over 90 % without the needing for a webcam, colored gloves, and/or online translator. The presented system can be used on any android or windows.

Video-based Indoor Human Gait Recognition Using Depth Imaging and Hidden Markov Model: A Smart System for Smart Home

2010 ◽  
Vol 20 (1) ◽  
pp. 120-128 ◽  
Author(s):  
Md. Zia Uddin ◽  
Tae-Seong Kim ◽  
Jeong Tai Kim
Keyword(s):  
Hidden Markov ◽  
Gait Recognition ◽  
Smart Homes ◽  
The Elderly ◽  
Recognition System ◽  
Home Healthcare ◽  
Human Gait ◽  
Depth Imaging ◽  
Smart System ◽  
Spatiotemporal Features

Smart homes that are capable of home healthcare and e-Health services are receiving much attention due to their potential for better care of the elderly and disabled in an indoor environment. Recently the Center for Sustainable Healthy Buildings at Kyung Hee University has developed a novel indoor human activity recognition methodology based on depth imaging of a user’s activities. This system utilizes Independent Component Analysis to extract spatiotemporal features from a series of depth silhouettes of various activities. To recognise the activities from the spatiotemporal features, trained Hidden Markov Models of the activities would be used. In this study, this technique has been extended to recognise human gaits (including normal and abnormal). Since this system could be of great significance for the caring of the elderly, to promote and preserve their health and independence, the gait recognition system would be considered a primary function of the smart system for smart homes. The indoor gait recognition system is trained to detect abnormal gait patterns and generate warnings. The system works in real-time and is aimed to be installed at smart homes. This paper provides the information for further development of the system for their application in the future.

AUTHENTICATION OF FINGERPRINT BIOMETRICS ACQUIRED USING A CELLPHONE CAMERA: A REVIEW

2013 ◽  
Vol 11 (05) ◽  
pp. 1350033 ◽  
Author(s):  
MOHAMMED S. KHALIL ◽  
FAJRI KURNIAWAN ◽  
KASHIF SALEEM
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
High Performance ◽  
Personal Information ◽  
Current Trend ◽  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Biometrics ◽  
Smart Mobile Phone ◽  
Smart Mobile

Over the past decade, there have been dramatic increases in the usage of mobile phones in the world. Currently available smart mobile phones are capable of storing enormous amounts of personal information/data. The smart mobile phone is also capable of connecting to other devices, with the help of different applications. Consequently, with these connections comes the requirement of security to protect personal information. Nowadays, in many applications, a biometric fingerprint recognition system has been embedded as a primary security measure. To enable a biometric fingerprint recognition system in smart mobile phones, without any additional costs, a built-in high performance camera can be utilized. The camera can capture the fingerprint image and generate biometric traits that qualify the biometric fingerprint authentication approach. However, the images acquired by a mobile phone are entirely different from the images obtained by dedicated fingerprint sensors. In this paper, we present the current trend in biometric fingerprint authentication techniques using mobile phones and explore some of the future possibilities in this field.

A Secure and Efficient Communication Tool

2017 ◽  
pp. 787-794
Author(s):  
Matteo Cagnazzo ◽  
Patrick Wegner ◽  
Norbert Pohlmann
Keyword(s):  
Communication Tool ◽  
Efficient Communication

scholarly journals Continuous Finger Gesture Recognition Based on Flex Sensors

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3986 ◽  
Author(s):  
Wei-Chieh Chuang ◽  
Wen-Jyi Hwang ◽  
Tsung-Ming Tai ◽  
De-Rong Huang ◽  
Yun-Jie Jhang
Keyword(s):  
Gesture Recognition ◽  
Recognition System ◽  
Maximum A Posteriori ◽  
Map Estimation ◽  
A Posteriori ◽  
Sensory Data ◽  
Robust Recognition ◽  
Flex Sensors ◽  
Gated Recurrent Unit ◽  
Gesture Spotting

The goal of this work is to present a novel continuous finger gesture recognition system based on flex sensors. The system is able to carry out accurate recognition of a sequence of gestures. Wireless smart gloves equipped with flex sensors were implemented for the collection of the training and testing sets. Given the sensory data acquired from the smart gloves, the gated recurrent unit (GRU) algorithm was then adopted for gesture spotting. During the training process for the GRU, the movements associated with different fingers and the transitions between two successive gestures were taken into consideration. On the basis of the gesture spotting results, the maximum a posteriori (MAP) estimation was carried out for the final gesture classification. Because of the effectiveness of the proposed spotting scheme, accurate gesture recognition was achieved even for complicated transitions between successive gestures. From the experimental results, it can be observed that the proposed system is an effective alternative for robust recognition of a sequence of finger gestures.

scholarly journals Sign Language Recognition System

2022 ◽  
pp. 1-3
Author(s):  
Dr. Pooja M R ◽  
◽  
Meghana M ◽  
Harshith Bhaskar ◽  
Anusha Hulatti ◽  
...  
Keyword(s):  
Neural Network ◽  
Sign Language ◽  
Recognition System ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Voice Input ◽  
Normal People ◽  
Web Camera ◽  
A New Technique ◽  
Artificial Neural Network Ann

We witness many people who face disabilities like being deaf, dumb, blind etc. They face a lot of challenges and difficulties trying to interact and communicate with others. This paper presents a new technique by providing a virtual solution without making use of any sensors. Histogram Oriented Gradient (HOG) along with Artificial Neural Network (ANN) have been implemented. The user makes use of web camera, which takes input from the user and processes the image of different gestures. The algorithm recognizes the image and identifies the pending voice input. This paper explains two way means of communication between impaired and normal people which implies that the proposed ideology can convert sign language to text and voice.

scholarly journals Smart Finger Gesture Recognition System for Silent Speakers

2019 ◽  
pp. 238-350
Author(s):  
Gayathri. R ◽  
K. Sheela Sobana Rani ◽  
R. Lavanya
Keyword(s):  
Sign Language ◽  
Gesture Recognition ◽  
Software Tool ◽  
Recognition System ◽  
Raspberry Pi ◽  
Text Format ◽  
Data Glove ◽  
Signal Conversion ◽  
Audio Output ◽  
Flex Sensors

Silent speakers face a lot of problems when it comes to communicate their thoughts and views. Furthermore, only few people know the sign language of these silent speakers. They tend to feel awkward to take part any exercises with the typical individuals. They require gesture based communication mediators for their interchanges. The solution to this problem is to provide them a better way to take their message across, “Smart Finger Gesture Recognition System for Silent Speakers” which has been proposed. Instead of using sign language, gesture recognition is done with the help of finger movements. The system consists of data glove, flex sensors, raspberry pi. The flex sensors are fitted on the data gloves and it is used to recognize the finger gestures. Then the ADC module is used to convert the analog values into digital form. After signal conversion, the value is given to Raspberry Pi 3, and it converts the signals into audio output as well as text format using software tool. The proposed framework limits correspondence boundary between moronic individuals and ordinary individuals. Therefore, the recognized finger gestures are conveyed into speech and text so that the normal people can easily communicate with dumb people.

DIGITAL SMILE DESIGN (DSD)- TECHNOLOGY OF THE FUTURE

2018 ◽  
Vol 28 (7) ◽  
pp. 2517-2521
Author(s):  
Gergana Kasnakova ◽  
Desislava Giteva ◽  
Kristina Kilova
Keyword(s):  
Soft Tissues ◽  
Well Being ◽  
Digital Design ◽  
Digital Information ◽  
Communication Tool ◽  
Facial Esthetics ◽  
Efficient Communication ◽  
New Perspective ◽  
Smile Esthetics ◽  
Important Objective

Digital Smile Design (DSD) is a digital design of the smile by means of the study the relationships between the teeth, gums, and lips of the patient in order to plan their treatment virtually. The use of digital tools offers a new perspective to daily clinical activities. The digital information is an objective and efficient communication tool among dentist, patient, and technician. Тhe DSD simulation is not enough for the patient to understand and observe the changes that will be performed on the teeth. This combination of techniques can offer predictability to results as.A beautiful smile and harmonic facial esthetics are attributes that contribute to the well-being of any patient. Smile esthetics are related to the form, texture, color, and alignment of the teeth as well as to intraoral soft tissues. An important objective of an esthetic treatment is that the final result should be as close as possible to the patient's expectations, improving his/her facial esthetics and smile.

Activity recognition system using inbuilt sensors of smart mobile phone and minimizing feature vectors

2015 ◽  
Vol 22 (11) ◽  
pp. 2715-2722 ◽  
Author(s):  
Dulal Acharjee ◽  
Amitava Mukherjee ◽  
J. K. Mandal ◽  
Nandini Mukherjee
Keyword(s):  
Mobile Phone ◽  
Activity Recognition ◽  
Recognition System ◽  
Feature Vectors ◽  
Smart Mobile Phone ◽  
Smart Mobile

scholarly journals PROBLEMATIKA PEMBELAJARAN MEMBACA DAN MENULIS PERMULAAN DI SEKOLAH DASAR

2019 ◽  
Vol 3 (1) ◽  
pp. 57
Author(s):  
Nyoman Suastika Suastika
Keyword(s):  
Communication Tool ◽  
Social And Emotional Development ◽  
Learning To Read ◽  
Social And Emotional ◽  
Reading Materials ◽  
Thinking Ability ◽  
Efficient Communication ◽  
Innovative Learning ◽  
The Media ◽  
Development Of Students

<p><em>Language is a communication tool that is a symbolic system of sound produced by a human speech tool. Language as a means of communication can not only talk, but can be manifested by hand signals or other bodies that have their own rules. Language has a central role in the intellectual, social, and emotional development of students. This means every human being is subject to limitations in the language. The development of children's speaking skills in elementary schools will become the language for their effective and efficient communication. Learning to read in primary school is very important. This is caused by learning that can not only be utilized in improving the language skills of children, more than that, that is to improve students' ability in learning other subjects. The essence of writing skills is to increase the vocabulary insight for students, so that students are encouraged to think dynamic, critical, rational and able to live up to the conditions and goals of good and true teaching. However, on various matters relating to the process of reading and writing beginning in elementary school. This should not be allowed to happen continuously will cause an imbalance in the development of students' thinking ability. In addition to teachers, parents also play an important role in helping to solve problems by learning to read and write the beginning. Here the authors formulate some efforts to overcome this, namely: choosing reading materials, making the media as a song, choose innovative learning media, and motivate students by providing feedback.</em></p>

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