Almoctar Hassoumi

Ecole Nationale de l'Aviation Civile | ENAC · Aeronautical HMI ENAC

Moving object analysis is a constantly growing field with numerous concrete applications in terms of traffic understanding, prediction and simulation. While many algorithms and analytic processes exist, there are still areas of investigation with novel trajectory analysis methods. As such, the geometric information analyses data with respect to its...

Thermography-based physiological measurement is an active re-search topic. Using such contact-free approach can be particularly helpful for detecting pilots’ mental state in operational settings. In particular, thermal infrared imaging of the face is a powerful and non-invasive tool that enables rapid and automatic analysis of changes in regional f...

Eye-tracking tools estimate the locations in a scene where a user is fixating on. They are used in various domains including human-computer interaction (HCI) and learning transfer. As an example, gaze-based text entry allows interacting with computing systems remotely without touching the interface. They are also used to comprehend the visual behav...

We investigate the smooth pursuit eye movement based interaction using an unmodified off-the-shelf RGB camera. In each pair of sequential video frames, we compute the indicative direction of the eye movement by analyzing flow vectors obtained using the Lucas-Kanade optical flow algorithm. We discuss how carefully selected low vectors could replace...

Eye tracking systems have recently experienced a diversity of novel calibration procedures, including smooth pursuit and vestibulo-ocular reflex based calibrations. These approaches allowed collecting more data compared to the standard 9-point calibration. However, the computation of the mapping function which provides planar gaze positions from pu...

This dataset contains the calibration error per participant in x- and y-axis for marker calibration using standard regression. The data were used to prepare Table 3. (XLSX)

This dataset contains the calibration error per participant in x- and y-axis for marker calibration using symbolic regression after 1s, 10s, and 30s. The data were used to prepare Table 4. (XLSX)

This dataset contains the calibration error per participant in x- and y-axis for finger calibration using symbolic regression after 1s, 10s, and 30s. The data were used to prepare Table 6. (XLSX)

This dataset contains the calibration error per participant in x- and y-axis for finger calibration using standard regression. The data were used to prepare Table 5. (XLSX)

We present PathWord (PATH passWORD), a multimodal digit entry method for ad-hoc authentication based on known digits shape and user relative eye movements. PathWord is a touch-free, gaze-based input modality, which attempts to decrease shoulder surfing attacks when unlocking a system using PINs. The system uses a modified web camera to detect the u...

In this paper, we investigate how visualization assets can support the qualitative evaluation of gaze estimation uncertainty. Although eye tracking data are commonly available, little has been done to visually investigate the uncertainty of recorded gaze information. This paper tries to fill this gap by using innovative uncertainty computation and...

Understanding large multidimensional datasets is one of the most challenging problems in visual data exploration. One key challenge that increases the size of the exploration space is the number of views that one can generate from a single dataset, based on the use of multiple parameter values and exploration paths. Often, no such single view conta...

In this paper, we investigate how visualization assets can support the qualitative evaluation of gaze estimation uncertainty. Although eye tracking data are commonly available, little has been done to visually investigate the uncertainty of recorded gaze information. This paper tries to fill this gap by using innovative uncertainty computation and...