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Found 11 papers, 3 papers with code
Teaching Unknown Objects by Leveraging Human Gaze and Augmented Reality in Human-Robot Interaction
Robots are becoming increasingly popular in a wide range of environments due to their exceptional work capacity, precision, efficiency, and scalability.
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts
Hence, human-in-the-loop (HITL) extensions to ML models add a human review for instances that are difficult to classify.
Gaze-based Object Detection in the Wild
For this purpose, we explore different sizes of temporal windows, which serve as a basis for the computation of heatmaps, i. e., the spatial distribution of the gaze data.
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control
Reinforcement learning (RL) is a promising, upcoming topic in automatic control applications.
Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze
This paper describes a feature extraction and gaze estimation software, named \textit{Pistol} that can be used with Pupil Invisible projects and other eye trackers in the future.
Non-Autoregressive vs Autoregressive Neural Networks for System Identification
The application of neural networks to non-linear dynamic system identification tasks has a long history, which consists mostly of autoregressive approaches.
RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters
We gather six publicly available datasets of which we exploit two datasets for the method development and the training, and we use four datasets for evaluation of the trained estimator in three different test scenarios with varying practical relevance.
The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications
However, human gaze acquisition in the browser also has disadvantages, such as inaccuracies via webcam and the restriction that the user must first allow access to the camera.
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation
Inertial measurement units are commonly used to estimate the attitude of moving objects.
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
Micro- and smart grids (MSG) play an important role both for integrating renewable energy sources in conventional electricity grids and for providing power supply in remote areas.
Systems and Control Systems and Control
