Toward 3-D Gesture Recognition

Hand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study

Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...

3D Hand Motion Evaluation Using HMM

Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...

Gesture Recognition Using the Linear Combination of Membership Degrees of Observations

Toward Natural Gesture/Speech HCI: A Case Study of Weather Narration

In order to incorporate naturalness in the design of Human Computer Interfaces (HCI), it is desirable to develop recognition techniques capable of handling continuous natural gesture and speech inputs. Hidden Markov Models (HMMs) provide a good framework for continuous gesture recognition and also for multimodal fusion [11]. Many different researchers [13, 12, 2], have reported high recognition...

Hand Gesture Controlled Drones: An Open Source Library

Drones are conventionally controlled using joysticks, remote controllers, mobile applications, and embedded computers. A few significant issues with these approaches are that drone control is limited by the range of electromagnetic radiation and susceptible to interference noise. In this study we propose the use of hand gestures as a method to control drones. We investigate the use of computer ...