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:
- DOI:
- 10.21227/0xsz-hy02
- Data Format:
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- Keywords:
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
