Towards High Performance Low Complexity Calibration in Appearance Based Gaze Estimation.

Appearance-based gaze estimation from RGB images provides relatively unconstrained gaze tracking from commonly available hardware. The accuracy of subject-independent models is limited partly by small intra-subject and large inter-subject variations in appearance, and partly by a latent subject-dependent bias. To improve estimation accuracy, we have previously proposed a gaze decomposition method that decomposes the gaze angle into the sum of a subject-independent gaze estimate from the image and a subject-dependent bias.

A novel benzotriazole derivate with Twisted intramolecular charge transfer and Aggregation Induced emission features for proton determination.

Molecules with Aggregation-Induced Emission (AIE) effects could show strong emission in solid or aggregate form, thus they are suitable for applications in the field of solid luminescent materials. According to former reporting, AIE molecules are always J-aggregates. In this study, a new benzotriazole derivate with electron donor-acceptor structure was synthesized.

Hybrid gaze/EEG brain computer interface for robot arm control on a pick and place task.

We describe a hybrid brain computer interface that integrates gaze information from an eye tracker with brain activity information measured by electroencephalography (EEG). Users explicitly control the end effector of a robot arm to move in one of four directions using motor imagery to perform a pick and place task. Measurements of the natural eye gaze behavior of subjects is used to infer the instantaneous intent of the users based on the past gaze trajectory.

A Two-stage model for inference of target identity during 2D cursor control from natural gaze trajectories.

We describe a two stage hidden Markov model based algorithm for inferring target identity in a 2D cursor control task where subjects are instructed to use a joystick to steer a cursor towards a target while avoiding obstacles. The first stage of the model converts a regularly sampled gaze trajectory into a sequence of fixations. The second stage then makes a determination of the end target in the cursor control task based on this sequence of fixations.