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Title: Hotspot Modeling of Hand-machine Interaction Experiences from a Head-mounted RGB-D Camera
Authors: Chen, Longfei
Nakamura, Yuichi  kyouindb  KAKEN_id
Kondo, Kazuaki
Mayol-Cuevas, Walterio
Author's alias: 中村, 裕一
近藤, 一晃
Keywords: egocentric vision
machine operation experiences
task modeling
Issue Date: 1-Feb-2019
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Journal title: IEICE Transactions on Information and Systems
Volume: E102-D
Issue: 2
Start page: 319
End page: 330
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.
Rights: 許諾条件に基づいて掲載しています。
DOI(Published Version): 10.1587/transinf.2018EDP7146
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