Invisible: gaze data and environmental context for grasp intention recognition

Citation Author(s):
Bo
Yang
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Jian
Huang
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Xiling
Xiao
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Submitted by:
Bo Yang
Last updated:
Thu, 03/23/2023 - 07:50
DOI:
10.21227/0xsz-hy02
Data Format:
CSV, mp4, AVI
License:
Creative Commons Attribution
153 Views
Categories:
Artificial Intelligence
Machine Learning
Wearable Sensing
Image Processing
Keywords:
environmental context, gaze, grasp intention
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Abstract 

Grasp intention recognition is a vital problem for controlling assistive robots to help the elderly and infirm people restore arm and hand function. This dataset contains gaze data and scene image data of healthy individuals and hemiplegic patients while performing different grasping tasks. It can be used for gaze-based grasp intention recognition studies.

Instructions: 

N/A

Funding Agency: 
National Natural Science Foundation of China
Grant Number: 
U1913207

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