Blar i ODA Open Digital Archive på forfatter "Lencastre, Pedro"

Viser treff 1-6 av 6

    • Can GANs replicate eye-gaze trajectories? 

      Gjersdal, Marit Øye (ACIT;2022, Master thesis, 2022)
      Generative Adversarial Networks (GANs) have gained popularity in the field of computer vision. Recently, GANs have shown promising results in generating sequential data, such as time series data and text. This thesis ...

    • EyeT4Empathy: Dataset of foraging for visual information, gaze typing and empathy assessment 

      Lencastre, Pedro; Bhurtel, Samip; Yazidi, Anis; Mello, Gustavo Borges Moreno E; Denysov, Sergiy; Lind, Pedro (Scientific Data;9, Article number: 752 (2022), Peer reviewed; Journal article, 2022-12-03)
      We present a dataset of eye-movement recordings collected from 60 participants, along with their empathy levels, towards people with movement impairments. During each round of gaze recording, participants were divided into ...

    • Identifying Autism Gaze Patterns in Five-Second Data Records 

      Lencastre, Pedro; Lotfigolian, Maryam; Lind, Pedro (Peer reviewed; Journal article, 2024)
      One of the most challenging problems when diagnosing autism spectrum disorder (ASD) is the need for long sets of data. Collecting data during such long periods is challenging, particularly when dealing with children. This ...

    • Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses 

      Papanikolaou, Christos; Sharma, Akriti; Lind, Pedro; Lencastre, Pedro (Peer reviewed; Journal article, 2024)
      Theprecisemathematicaldescriptionofgazepatternsremainsatopicofongoingdebate, impacting the practical analysis of eye-tracking data. In this context, we present evidence supporting the appropriateness of a Lévy flight ...

    • Modeling Wind-Speed Statistics beyond the Weibull Distribution 

      Lencastre, Pedro; Yazidi, Anis; Lind, Pedro (Peer reviewed; Journal article, 2024)
      While it is well known that the Weibull distribution is a good model for wind-speed measurements and can be explained through simple statistical arguments, how such a model holds for shorter time periods is still an open ...

    • Predicting ADHD in Children Using Eye-Tracking Data and Mathematical Modeling 

      Papanikolaou, Christos; Lencastre, Pedro (Master thesis, 2023)
      Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurobiological condition with far-reaching implications for a child's academic achievement, well-being, and social interactions. Despite its impact, current ...