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Tracking daily routines of elderly users through acoustic sensing: An unsupervised learning approach

Nicolaou, Pavlos, Efstratiou, Christos (2022) Tracking daily routines of elderly users through acoustic sensing: An unsupervised learning approach. In: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 21-25 Mar 2022. (doi:10.1109/PerComWorkshops53856.2022.9767404) (KAR id:95558)

Abstract

Assistive technologies that can passively track people’s daily activities with dementia can deliver significant benefits for the patients themselves and their carers. This work investigates the feasibility of developing a system for the unsupervised tracking of daily activities at home through acoustic sensing. Motivated by the wide adoption of intelligent voice assistant devices in home environments, we developed a prototype algorithm to identify diversions from typical activities using the captured sounds, without the need for activity labelling. The system relies on sound embeddings through a pre-trained model, a novel dimensionality reduction algorithm, and the application of dynamic time warping for pattern matching. Our evaluation through synthetic activity sequences using data from our data collection in addition to public datasets shows very good performance (precision 0.99, recall 0.95).

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/PerComWorkshops53856.2022.9767404
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Christos Efstratiou
Date Deposited: 29 Jun 2022 13:44 UTC
Last Modified: 30 Jun 2022 13:27 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/95558 (The current URI for this page, for reference purposes)

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