The paper proposes a novel recognition system for hand shapes at a distance for smart TV. Two types of hand shapes are selected for the needs of TV browsing ...
The paper proposes a novel recognition system for hand shapes at a distance for smart TV. Two types of hand shapes are selected for the needs of TV browsing ...
The paper proposes a novel recognition system for hand shapes at a distance for smart TV. Two types of hand shapes are selected for the needs of TV browsing ...
This review provides a thorough overview of the current research in machine-learned wearable sensors for real-time hand motion recognition.
Missing: TV. | Show results with:TV.
This paper presents a new approach for tracking hand rotation and various grasping gestures through an infrared camera. For the complexity and ambiguity of an ...
In medical data visualization environment vision-based hand gesture recognition system is used to interpret user gestures in real time. d. Controlling home ...
In this paper, a deep convolutional neural network is proposed to directly classify hand gestures in images without any segmentation or detection stage that ...
We present a new real-time hand tracking system based on a single depth camera. The system can accurately reconstruct complex hand poses across a variety of ...
Abstract. Sparsity has been showed to be one of the most important properties for visual recognition purposes. In this paper we show that sparse ...
Abstract. Hand gestures are used by specially challenged people for interacting with the outside world. The gesture vocabulary is created with action words ...