TITLE: SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation 

ABSTRACT: This article describes a dataset collected in a set of experiments that
involves human participants and a robot. The set of experiments was conducted
in the computing science robotics lab in Simon Fraser University, Burnaby, BC,
Canada, and its aim is to gather data containing common gestures, movements,
and other behaviours that may indicate humans' navigational intent relevant for
autonomous robot navigation. The experiment simulates a shopping scenario where
human participants come in to pick up items from his/her shopping list and
interact with a Pepper robot that is programmed to help the human participant.
We collected visual data and motion capture data from 108 human participants.
The visual data contains live recordings of the experiments and the motion
capture data contains the position and orientation of the human participants in
world coordinates. This dataset could be valuable for researchers in the
robotics, machine learning and computer vision community.
This article describes a dataset collected in a set of experiments that
involves human participants and a robot. The set of experiments was conducted
in the computing science robotics lab in Simon Fraser University, Burnaby, BC,
Canada, and its aim is to gather data containing common gestures, movements,
and other behaviours that may indicate humans' navigational intent relevant for
autonomous robot navigation. The experiment simulates a shopping scenario where
human participants come in to pick up items from his/her shopping list and
interact with a Pepper robot that is programmed to help the human participant.
We collected visual data and motion capture data from 108 human participants.
The visual data contains live recordings of the experiments and the motion
capture data contains the position and orientation of the human participants in
world coordinates. This dataset could be valuable for researchers in the
robotics, machine learning and computer vision community.
SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation
http://arxiv.org/abs/2010.14802v1