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Hand gestures are spatio-temporal patterns which can be characterized by collections of spatio-temporal features. However, in real world scenarios, hand gesture recognition suffers from huge challenges with variations of illumination, poses and occlusions. The Microsoft Kinect device provides an effective way to solve the above issues and extract discriminative features for hand gesture recognition...
This paper develops a decision-making system based on the BP Neural Network to navigate a robot in an unknown environment. Based on the neural network model, the robot can move out of specific mazes successfully through adjusting its direction and speed continuously. A BP neural network, which includes three input nodes and nine output nodes, are designed for the navigation system. The information...
The future of robotics is not limited to factories and homes, and is extending to robot-assisted urban search and rescue. This paper proposes a new application of neural networks in this emerging field of research. Specifically, a neural network with feedforward architecture using the backpropagation learning algorithm is implemented in order to determine the positioning of a robotic gripper that...
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