A multi-sensor dataset of human-human handover

被引：18

作者：

Carfi, Alessandro ^{[1
]}

Foglino, Francesco ^{[1
]}

Bruno, Barbara ^{[1
]}

Mastrogiovanni, Fulvio ^{[1
]}

机构：

[1] Univ Genoa, Dept Informat Bioengn Robot & Syst Engn, Via Opera Pia 13, I-16145 Genoa, Italy

来源：

DATA IN BRIEF | 2019年 / 22卷

关键词：

D O I：

10.1016/j.dib.2018.11.110

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The article describes a multi-sensor dataset of human-human handovers composed of over 1000 recordings collected from 18 volunteers. The recordings refer to 76 test configurations, which consider different volunteer's starting positions and roles, objects to pass and motion strategies. In all experiments, we acquire 6-axis inertial data from two smartwatches, the 15-joint skeleton model of one volunteer with an RGB-D camera and the upper-body model of both persons using a total of 20 motion capture markers. The recordings are annotated with videos and questionnaires about the perceived characteristics of the handover. (C) 2018 The Authors. Published by Elsevier Inc.

引用

页码：109 / 117

页数：9