Abstract: Techniques for generating 3D gaze predictions based on a deep learning system are described. In an example, the deep learning system includes a neural network. The neural network is trained with training images. During the training, calibration parameters are initialized and input to the neural network, and are updated through the training. Accordingly, the network parameters of the neural network are updated based in part on the calibration parameters. Upon completion of the training, the neural network is calibrated for a user. This calibration includes initializing and inputting the calibration parameters along with calibration images showing an eye of the user to the neural network. The calibration includes updating the calibration parameters without changing the network parameters by minimizing the loss function of the neural network based on the calibration images. Upon completion of the calibration, the neural network is used to generate 3D gaze information for the user.

Abstract: Techniques for generating 3D gaze predictions based on a deep learning system are described. In an example, the deep learning system includes a neural network. The neural network is trained with training images generated by cameras and showing eyes of user while gazing at stimulus points. Some of the stimulus points are in the planes of the camera. Remaining stimulus points are not un the planes of the cameras. The training includes inputting a first training image associated with a stimulus point in a camera plane and inputting a second training image associated with a stimulus point outside the camera plane. The training minimizes a loss function of the neural network based on a distance between at least one of the stimulus points and a gaze line.

Abstract: A method for forming an offset model is described. The offset model represents an estimated offset between a limbus center of a user eye and a pupil center of the user eye as a function of pupil size. The approach includes sampling a set of limbus center values, sampling a set of pupil center values, and sampling a set of radius values. The offset model is formed by comparing a difference between the set of limbus center values and the set of pupil center values at each of the radius values. A system and a computer-readable storage device configured to perform such a method are also disclosed.

Abstract: A method is disclosed, comprising obtaining a first angular offset between a first eye direction and a first gaze direction of an eye having a first pupil size, obtaining a second angular offset between a second eye direction and a second gaze direction of the eye having a second pupil size, and forming, based on the first angular offset and the second angular offset, a compensation model describing an estimated angular offset as a function of pupil size. A system and a device comprising a circuitry configured to perform such a method are also disclosed.

Abstract: A chain making plant for the manufacture of two chains at a time by means of a series of operating stations arranged along a substantially straight course. Two conveyor units are provided, each of which successively presents a depending portion of one chain to the operating stations. Each of the conveyor units comprises a carriage running on a track extending along the course and a transverse chain conveyor supported by said carriage. A stationary supporting structure is provided outside of the middle portion of each of the tracks, said structure including a chain wheel arranged at such height and such a transverse distance with respect to the discharge end of the transverse chain conveyor as to allow a sagging portion of the chain supported at one end by the discharge end of the transverse chain conveyor and at the other end by said chain wheel to turn freely about said chain wheel.

Abstract: A chain making plant for the manufacture of two chains at a time by means of a series of operating stations arranged along a substantially straight course. Two conveyor units are provided, each of which successively presents a depending portion of one chain to the operating stations. Each of the conveyor units comprises a carriage running on a track extending along the course and a transverse chain conveyor supported by said carriage, said transverse chain conveyor being arranged to feed the chain outwards step by step and being capable of being shifted transversely as a unit with respect to the carriage.