Static Hand Gesture Recognition using an Android Device

@inproceedings{Joshi2015StaticHG,
  title={Static Hand Gesture Recognition using an Android Device},
  author={Tejashri J. Joshi and Shiva Kumar and Noshir Tarapore and Vivek Mohile and Rajeshri R. Itkarkar and Anil Kumar Nandy and Jie Song and Gabor Soros and Fabrizio Pece and S. Fanello and Shahram Izadi and Cem Keskin and Otmar Hilliges},
  year={2015}
}
The need to enhance communication between humans and computers has been instrumental in determining new communication models, and accordingly new ways of interacting with machines. A vision based Hand Gesture Recognition system can be useful to recognize hand gesture in air, with devices like camera equipped smart phones and cameras connected to computers. The fast improvement of smartphones during the last decade has been predominantly determined by interaction and visualization innovations… Expand
Hand Gesture Detection Based Real-Time American Sign Language Letters Recognition using Support Vector Machine
  • Xinyun Jiang, Wasim Ahmad
  • Computer Science
  • 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
  • 2019
TLDR
A real-time vision-based static hand gesture recognition system for sign language that can distinguish B, D, F, L and U, these five American sign language hand gestures, with the success rate of about 99.4%. Expand
Arabic Sign Language Recognition System on Smartphone
TLDR
This work is proposing the use of smartphone as a platform, a client server system is implemented, sign image background is detected and removed under HSV color space, and SVM is used to classify the features, which are able to classify 10 Arabic Sign Language with an experimental accuracy result. Expand
American and russian sign language dactyl recognition
TLDR
This paper compares several real-time sign language dactyl recognition systems using deep convolutional neural networks and develops a system that is able to recognize words from natural language gestured using signs for each letter. Expand
Russian Sign Language Dactyl Recognition
In this paper, we compare several real-time sign language dactyl recognition systems and present a new model based on deep convolutional neural networks. These systems are able to recognize RussianExpand

References

SHOWING 1-10 OF 22 REFERENCES
Hand Gesture Recognition Using an Android Device
TLDR
The recognition approach used in this paper is artificial neural network among back propagation algorithm, this approach can be adapted to real time system very easily. Expand
The current feasibility of gesture recognition for a smartphone using J2ME
TLDR
It is concluded that the latest smartphone generation is capable of executing complex image processing applications, with the most penalizing factor being camera performance regarding capture rates with the current J2ME support. Expand
Robust Part Based Hand Gesture Recognition Using Kinect Sensor
Hand gesture based Human Computer Interaction (HCI) is one of the most natural and intuitive ways to communicate between people and machines, since it closely mimics how human interact with eachExpand
Robust Part-Based Hand Gesture Recognition Using Kinect Sensor
TLDR
A novel distance metric, Finger-Earth Mover's Distance (FEMD), is proposed, which only matches the finger parts while not the whole hand, it can better distinguish the hand gestures of slight differences. Expand
Sign Language Recognition Using Principal Component Analysis
TLDR
Principal component analysis is presented which is a fast and efficient technique for recognition of sign gestures from video stream which has been tested and developed successfully in a real time environment with approx 90% matching rate. Expand
Hand Gesture Recognition in Images and Video
As the integration of digital cameras within personal computing devices becomes a major trend, a real opportunity exists to develop more natural Human-Computer Interfaces that rely on user gestures.Expand
Early childhood education by hand gesture recognition using a smartphone based robot
TLDR
The result suggests that the idea of hand gesture based HRI for early childhood education is feasible and that children can learn mathematics by hand gestures based interaction with a robot. Expand
The Design and Implementation of Mobile Arabic Fingerspelling Recognition System
The increasing ubiquity of today's Smartphones made them an ideal platform for many emerging mobile applications that range from navigation systems to healthcare monitoring. However, the majority ofExpand
Real-time Vision-based Hand Gesture Recognition Using Haar-like Features
TLDR
A two level approach to solve the problem of real-time vision-based hand gesture classification using a context-free grammar-based syntactic analysis and the AdaBoost learning algorithm is proposed. Expand
Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique
TLDR
A system using Eigen value weighted Euclidean distance as a classification technique for recognition of various Sign Languages of India, which comprises of four parts: Skin Filtering, Hand Cropping, Feature Extraction and Classification. Expand
...
1
2
3
...