[PDF] Top 20 HIM: Hand Gesture Recognition in Mobile Learning

... The methodology of this research involves the capturing video through camera, segmentation of the hand information from captured video, real time tracking and recognition of hand gesture[r] ... See full document

... As the algorithm's name implies, the errors (and therefore the learning) propagate backwards from the output nodes to the inner nodes. So technically speaking, backpropagation is used to calculate the gradient of ... See full document

... pattern recognition training times for ...user’s learning process of the control of wearable mechatronic devices would be reduced, thus promoting long term adoption of this ...adaptive learning ... See full document

... Abstract—Hand gesture is a nonverbal communication which is very useful to the deaf and ...computers. Hand gesture recognition has a wide range of applications such as recognizing of ... See full document

... the gesture as input to control device or application For example, a person doing some gesture is sensed by the, gesture recognition sensor and mobile device ...operated. Gesture ... See full document

... capturing hand gestures, the combination of both sensing approaches may improve the performance of hand gesture ...a gesture-based interaction ...language recognition and human–computer ... See full document

... resolution gesture picture capture from mobile phone, web camera, or low cost cameras was processed methodically to amount produced the number of fingers ...the hand has been used for the ... See full document

... One of the typical applications for an image database is to use it as a training set for learning algorithms. The same database could also be used for the testing phase, but it is more convenient to do tests with ... See full document

... 1) OpenCV- It has optimized libraries which include computer vision and machine learning algorithms. These functionalities are then used to detect motion, recognize faces, identify human actions, track movements, ... See full document

... features. It breaks the conventional concept of man made spatial features. In the CNN model, a set of fix-sized trainable kernels are defined to extract local texture features. The training process is based on ... See full document

... of hand image is modelled with the help of extracted feature of the hand ...the hand image stored in data ...Adaboost learning algorithm and uses of invariants feature are now being used for ... See full document

... The system is implemented using open source image and video processing library OpenCV. OpenCV is open source library developed by INTEL mostly focused on computer vision and real-time application. It is available in C, ... See full document

... Dr. Madhurima Hooda is currently working as an Assistant Professor in the Discipline of Information Technology at Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, India. She has ... See full document

... machine learning techniques or a special-purpose ...for gesture recognition: template matching, dictionary look-up, statistical matching, linguistic matching, neural network and ad hoc ...dynamic ... See full document

... Gesture recognition becomes a popular analytics tool for extracting the charac- teristics of user movement and enables numerous practical applications in the biometrics ...for hand gesture ... See full document

... of gesture recognition in managing mobile ...sensors hand gesture movements are extracted as real-time data and are streamed as feature ...users. Gesture recognition ... See full document

... Fast-RCNN and Faster-RCNN make further evolution on the pipeline of object detection. Following the pioneering RCNN, Fast/Faster RCNN uses convolutional layers, initialized with discriminative pre-training for ImageNet ... See full document

... using hand gestures ...of hand gesture ...static hand gesture recognition [3]. Static hand gesture recognition technology has a useful application on ... See full document

... good hand tracking algorithm, but is not enough for the recognition of complex ...better recognition of the gesture, so many scholars have carried out a lot of ...Motion gesture ... See full document

... as hand gesture acquisition, gesture recognition and sending gesture mapped meaning to the caretaker’s smart ...gesture recognition. Accelerometer measures the motion ... See full document