LifeSeniorProfile: A Multisensor Dataset for Elderly Real-time Activity Track

Maicon Much, Julio Sieg, Ayalon Moraes Filho, Vanessa Bartoski, Guilherme Schreiber, César Marcon

2023

Abstract

Real-time tracking and detection of risky situations in the elderly, such as falls and sudden changes in vital signs, requires reliable, continuous, and automated monitoring systems based on relevant information. Wireless biosensors provide a great opportunity to remotely detect and monitor hazardous situations, allowing for a fast response in an emergency. Motion data is widely used to track daily activities. Physiological data can also be used for this exact purpose. However, there is yet to be a database available in the field of research in which the patient’s physiological and movement information were collected simultaneously, considering daily activities and simulation of falls. This work presents a multisensor dataset for developing real-time tracking systems for the daily activities of older people. The data sensed refer to movement, using a triaxial accelerometer, and physiology, considering blood volume pulse, electrodermal activity, heart rate, inter-beat interval, and skin temperature. We collected these data from ten volunteers while performing 36 daily activities in a simulated environment.

Paper Citation

in Harvard Style

Much M., Sieg J., Moraes Filho A., Bartoski V., Schreiber G. and Marcon C. (2023). LifeSeniorProfile: A Multisensor Dataset for Elderly Real-time Activity Track. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF; ISBN 978-989-758-631-6, SciTePress, pages 453-460. DOI: 10.5220/0011730000003414

in Bibtex Style

@conference{healthinf23,
author={Maicon Much and Julio Sieg and Ayalon Moraes Filho and Vanessa Bartoski and Guilherme Schreiber and César Marcon},
title={LifeSeniorProfile: A Multisensor Dataset for Elderly Real-time Activity Track},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF},
year={2023},
pages={453-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011730000003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF
TI - LifeSeniorProfile: A Multisensor Dataset for Elderly Real-time Activity Track
SN - 978-989-758-631-6
AU - Much M.
AU - Sieg J.
AU - Moraes Filho A.
AU - Bartoski V.
AU - Schreiber G.
AU - Marcon C.
PY - 2023
SP - 453
EP - 460
DO - 10.5220/0011730000003414
PB - SciTePress