OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors

Mohammud J. Bocus; Wenda Li; Shelly Vishwakarma; Roget Kou; Chong Tang; Karl Woodbridge; Ian Craddock; Ryan McConville; Raul Santos-Rodriguez; Kevin Chetty; Robert Piechocki

doi:10.1038/s41597-022-01573-2

Scientific Data (Aug 2022)

OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors

Mohammud J. Bocus,
Wenda Li,
Shelly Vishwakarma,
Roget Kou,
Chong Tang,
Karl Woodbridge,
Ian Craddock,
Ryan McConville,
Raul Santos-Rodriguez,
Kevin Chetty,
Robert Piechocki

Affiliations

Mohammud J. Bocus: School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol
Wenda Li: Department of Security and Crime Science, University College London
Shelly Vishwakarma: Department of Security and Crime Science, University College London
Roget Kou: School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol
Chong Tang: Department of Security and Crime Science, University College London
Karl Woodbridge: Department of Security and Crime Science, University College London
Ian Craddock: School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol
Ryan McConville: School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol
Raul Santos-Rodriguez: School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol
Kevin Chetty: Department of Security and Crime Science, University College London
Robert Piechocki: School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol

DOI: https://doi.org/10.1038/s41597-022-01573-2
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 18

Abstract

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Measurement(s) Human physical activity • Human location Technology Type(s) WiFi sensing device • ultra-wideband impulse radar • passive WiFi radar • Kinect motion sensor Factor Type(s) Human location • Human physical activity • Room geometry • Participant demographics • Contactless sensing devices Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment Office building Sample Characteristic - Location United Kingdom

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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