[PDF] Top 20 Hand Gesture Recognition with Skin Detection and Deep Learning Method

... Abstract. Gesture recognition, although has been exploring for many years, is still a challenging ...robust method for hand gesture recognition based on RGB ...the skin ... See full document

... feasible, skin tone invariant and cost effective system using an algorithm based on skin detection and morphological operations to recognize static ...of hand, the algorithm detects the ... See full document

... the hand gesture sign language in real ...with skin detection to remove the complex background and create segmented ...contour detection is applied to localize and save hand ... See full document

... dynamic hand gesture recognition using fingertip ...his method to recognize the hand gesture, but this process is complex and also not time ...based method for skin ... See full document

... classification method used consists of pre-processing, windowing, feature extraction and ...on deep learning is proposed to improve the accuracy of EMG-based hand gesture ...individual ... 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

... implemented hand segmentation using Lab Color Space (HSL) and tested various techniques for efficient ...on skin colour detection using HTS algorithm and used Mean shift algorithm as hand ... See full document

... “hand gesture trajectory based on HMM” theses this main theme of this thesis is that we can model an spatio- temporal information in an natural ...The hand is being separated by the or from the ... See full document

... tiny hand gesture recognition system by using deep convolutional neural network without any localization and achieved accuracy up to ...own learning procedure because bounding boxes ... See full document

... the detection and recognition of faces and hand gestures ...and hand gestures has tremendous potential in applications such as teleconferencing, telemedicine, and advanced interfaces for ... See full document

... language recognition [1] [2] [3] [4], and other similar applications like sign lan- guage interpreter for deaf people [5] and robot control [6] ...the detection of a target [8] [9]. In the detection ... 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 ... 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

... to Hand Gesture Recognition for Natural Human Computer Interaction”, The aim of this paper is to develop robust and efficient hand segmentation algorithm where three algorithms for hand ... See full document

... desired hand image in one of the methods mentioned above, the hand needs to be segmented from other ...segmented hand represents an important step for the success of any recognition system ... See full document

... making gesture capture a simpler ...Gyro-type recognition systems and in electric- based configurations, users must wear gloves or should physically touch the ...for hand motion recognition, ... See full document

... original method which gives a compact and e ffi cient representation of the ges- ...the hand region for all images (hand pos- tures) within the gesture image ...the gesture and also the ... See full document

... Commonly, gesture recognition can be achieved by using different pattern recognition algorithms such as support vector machines (SVM) and linear discriminant analysis ...ideal gesture ... See full document

... new method by using the Hidden Markov Model based ...novel method for designing threshold models in a condi- tional random field (CRF) model which performs an adaptive threshold for distinguishing between ... See full document

... are gesture recognition as it provides a natural way to communicate between Human and ...Machines. Gesture based Human Computer Interaction applications range from PC Games to Augmented reality and ... See full document