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Authors: Alessandro Masullo ; Toby Perrett ; Dima Damen ; Tilo Burghardt and Majid Mirmehdi

Affiliation: University of Bristol, BS8 1UB, Bristol, U.K.

Keyword(s): Multi-sensory Fusion, Ambient Assisted Living, Silhouettes, Wearable Devices, Acceleration.

Abstract: The majority of the Ambient Assisted Living (AAL) systems, designed for home or lab settings, monitor one participant at a time – this is to avoid the complexities of pre-fusion correspondence of different sensors since carers, guests, and visitors may be involved in real world scenarios. Previous work from (Masullo et al., 2020) presented a solution to this problem that involves matching video sequences of silhouettes to accelerations from wearable sensors to identify members of a household while respecting their privacy. In this work, we elevate this approach to the next stage by improving its architecture and combining it with a tracking functionality that makes it possible to be deployed in real-world homes. We present experiments on a new dataset recorded in participants’ own houses, which includes multiple participants visited by guests, and show an auROC score of 90.2%. We also show a novel first example of subject-tailored health monitoring measurement by applying our methodo logy to a sit-to-stand detector to generate clinically relevant rehabilitation trends. (More)

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Paper citation in several formats:
Masullo, A.; Perrett, T.; Damen, D.; Burghardt, T. and Mirmehdi, M. (2021). No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 328-337. DOI: 10.5220/0010202903280337

@conference{visapp21,
author={Alessandro Masullo. and Toby Perrett. and Dima Damen. and Tilo Burghardt. and Majid Mirmehdi.},
title={No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP},
year={2021},
pages={328-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010202903280337},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP
TI - No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes
SN - 978-989-758-488-6
IS - 2184-4321
AU - Masullo, A.
AU - Perrett, T.
AU - Damen, D.
AU - Burghardt, T.
AU - Mirmehdi, M.
PY - 2021
SP - 328
EP - 337
DO - 10.5220/0010202903280337
PB - SciTePress