Eye tracker Material de Suporte

NIAID Data Ecosystem2026-05-01 收录

眼动追踪

人机交互

数据链接：

https://doi.org/10.7910/DVN/IX39Z9 数据链接链接失效反馈

官方服务：

资源简介：

Material de Suporte ao apoio laboratorial à utilização do eye tracker.

创建时间：

2024-02-15

ACTIVE

机器人感知

人机交互

ACTIVE（Action from Robotic View）是一个专为移动服务机器人感知视角设计的大规模数据集，包含30个复合动作类别、80名参与者和46,868个注释视频实例，涵盖RGB和点云两种模态。参与者在不同环境中执行各种人类动作，距离从3米到50米不等，同时摄像机平台也是移动的，模拟了机器人感知的真实场景。该数据集旨在推动自然人机交互（N-HRI）中的动作和属性识别研究。

github2025-07-31 更新230

Mean and standard error of normalised signal change for each saccade event type.

眼动追踪

神经信号分析

Mean and standard error of normalised signal change for each saccade event type.

NIAID Data Ecosystem90

eyelids_pupils_v1.zip

姿态估计

眼动追踪

DLC model weights for eyelid and pupil estimation

DataCite Commons2022-03-28 更新70

TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information

智力测试

眼动追踪

We present the TüEyeQ data set - to the best of our knowledge - the most comprehensive data set generated on a culture fair intelligence test (CFT 20-R), i.e., an IQ Test, consisting of 41 single task

DataCite Commons2025-05-12 更新100

MobileEYE: Deep-Learning-based Mobile Device Eye Tracking Solution for Dynamic Visuals

眼动追踪

深度学习

This repository contains two zipped files - Models and Codes - related to the development and evaluation of the MobileEYE algorithm. 1. Models These models were optimised for various inference enviro

Research Data Australia80

Eye tracker Material de Suporte

资源简介：

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