SUMMARY In order to investigate reading processes of Japanese language learners, we have conducted an experiment to record eye movements during Japanese text reading using an eye-tracking system. We showed that Japanese native speakers use " forward and backward jumping eye movements " frequently [13], [14]. In this paper, we analyzed further the same eye tracking data. Our goal is to examine w...

This paper presents a novel method for increasing the robustness of visual tracking systems by incorporating information from inertial sensors. We show that more can be achieved than simply combining the sensor data within a statistical filter: besides using inertial data to provide predictions for the visual sensor, this data can be used to dynamically tune the parameters of each feature detec...

Infant eye gaze is frequently studied because of its relevance as an indicator of early attention and learning. However, the coupling of eye gaze with an individual’s head motion is often overlooked. This paper analyzes how head motion develops within a social interaction context. To measure this interaction, we developed an approach that can estimate infant head motion from ego perspective rec...

This paper tries to identify increases in user frustration when using Eye-Tracking devices as compared to common interfacing devices like a standard mouse. For this, we used an electroencephalograph (EEG) to measure frustration levels while users navigated within a maze using each of the referred devices. Results from the analysis performed on the EEG data indicate that Eye-tracking has the sam...

Eye tracking may be very effective and has great potential in user interface optimisation. The main disadvantage of tracking what a user is looking at is the need for complex and expensive equipment, and a controlled laboratory environment. Mouse tracking is a widely applicable alternative to eye tracking. This paper presents the architecture of CHITAS (ComputerHuman Interaction Tracking and An...

The evaluation of audio beat tracking systems is normally addressed in one of two ways. One approach is for human listeners to judge performance by listening to beat times mixed as clicks with music signals. The more common alternative is to compare beat times against ground truth annotations via one or more of the many objective evaluation measures. However, despite a large body of work in aud...

This paper considers the problem of adaptive output feedback tracking control for a class of nonstrict-feedback nonlinear systems with unknown time-varying delays and unknown backlash-like hysteresis. Fuzzy logic systems are used to estimate the unknown nonlinear functions. Based on the Lyapunov–Krasovskii method, the control scheme is constructed by using the backstepping and adaptive techniqu...

This paper proposes an efficient Tracking method for velocity control of an electro-hydraulic servo system (EHSS) in the presence of flow nonlinearities and internal friction. The tracking method controller is a kind of feedback error learning structure. In the proposed method, the Feedback Error Learning (FEL) algorithm is used to control the velocity. There is no need to compute the system ja...

In this paper, we present an overview of several visual tracking methods for industrial augmented reality applications. We show that no universal algorithm can deal with the large number of possible scenes, and that the different methods have to be seen as complementary approaches that all have their strengths and weaknesses. The main difficulty, then, consists in combining existing building bl...