—Traditional indoor localization method based on the received signal strength (RSSI) has many drawbacks, such as the low localization accuracy, the high hardware requirements, and the complex algorithm. It is essential to create a robust system that can be suitable for varying indoor environment. In order to solve this problem, an automatic calibration indoor target signal positioning system i...

We present a combined machine learning and computer vision approach for robots to localize objects. It allows our iCub humanoid to quickly learn to provide accurate 3D position estimates (in the centimetre range) of objects seen. Biologically inspired approaches, such as Artificial Neural Networks (ANN) and Genetic Programming (...

We present a combined machine learning and computer vision approach for robots to localize objects. It allows our iCub humanoid to quickly learn to provide accurate 3D position estimates (in the centimetre range) of objects seen. Biologically inspired approaches, such as Artificial Neural Networks (ANN) and Genetic Programming (GP), are trained to provide these position estimates using the two ...

Eye tracking as a quantitative method for collecting eye movement data, requires the accurate knowledge of the eye position, where eye movements can provide indirect evidence about what the subject sees. In this study two eye tracking devices have been compared, a Head-mounted Eye Tracking Device (HED) and a Remote Eye Tracking Device (RED). The precision of both devices has been evaluated, in ...

We propose a novel method to estimate and track the 3D line of sight of a person based on 3-D computer vision techniques. Most of the existing nonintrusive gaze tracking methods share a common drawback: users have to perform certain experiments in calibrating the user-dependent parameters before using the gaze tracking systems. These parameters are functions of the radius of the cornea, the pos...

Combining new, low-cost thermal infrared and time-of-flight range sensors provides new opportunities. In this position paper we explore the possibilities of combining these sensors and using their fused data for person detection. The proposed calibration approach for this sensor combination differs from the traditional stereo camera calibration in two fundamental ways. A first distinction is th...