Projects per year
Abstract
This paper presents an approach to analyze and model tasks of machines being operated. The executions of the tasks were captured through egocentric vision. Each task was decomposed into a sequence of physical hand-machine interactions, which are described with touch-based hotspots and interaction patterns. Modeling the tasks was achieved by integrating the experiences of multiple experts and using a hidden Markov model (HMM). Here, we present the results of more than 70 recorded egocentric experiences of the operation of a sewing machine. Our methods show good potential for the detection of hand-machine interactions and modeling of machine operation tasks.
Original language | English |
---|---|
Pages (from-to) | 319-330 |
Number of pages | 12 |
Journal | IEICE Transactions on Information and Systems |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Feb 2019 |
Keywords
- Egocentric vision
- Hotspots
- Machine operation experiences
- RGB-D
- Task modeling
Fingerprint
Dive into the research topics of 'Hotspot modeling of hand-machine interaction experiences from a head-mounted RGB-D camera'. Together they form a unique fingerprint.Projects
- 1 Finished
-
GLANCE - EPSRC Call for Outlines - User Interaction with ICT
Mayol-Cuevas, W. W. (Principal Investigator)
4/04/16 → 2/02/22
Project: Research