New monitoring scheme for persons with dementia through monitoring-area adaptation according to stage of disease

Shigeki Kamada, Yuji Matsuo, Sunao Hara, Masanobu Abe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a new monitoring scheme for a person with dementia (PwD). The novel aspect of this monitoring scheme is that the size of the monitoring area changes for different stages of dementia, and the monitoring area is automatically generated using global positioning system (GPS) data collected by the PwD. The GPS data are quantized using the GeoHex code, which breaks down the map of the entire world into regular hexagons. The monitoring area is defined as a set of GeoHex codes, and the size of the monitoring area is controlled by the granularity of hexagons in the GeoHex code. The stages of dementia are estimated by analyzing the monitoring area to determine how frequently the PwD wanders. In this paper, we also examined two aspects of the implementation of the proposed scheme. First, we proposed an algorithm to estimate the monitoring area and evaluate its performance. The experimental results showed that the proposed algorithm can estimate the monitoring area with a precision of 0.82 and recall of 0.86 compared with the ground truth. Second, to investigate privacy considerations, we showed that different persons have different preferences for the granularity of the hexagons in the monitoring systems.1The results indicate that the size of the monitoring area also should be changed for PwDs.

Original languageEnglish
Title of host publicationLocalRec 2017 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Recommendations for Location-Based Services and Social Networks
EditorsPanagiotis Bouros, Matthias Renz, Dimitris Sacharidis
PublisherAssociation for Computing Machinery, Inc
ISBN (Print)9781450354998
DOIs
Publication statusPublished - Nov 7 2017
Event1st ACM SIGSPATIAL International Workshop on Recommendations for Location-Based Services and Social Networks, LocalRec 2017, in conjunction with the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2017 - Redondo Beach, United States
Duration: Nov 7 2017 → …

Other

Other1st ACM SIGSPATIAL International Workshop on Recommendations for Location-Based Services and Social Networks, LocalRec 2017, in conjunction with the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2017
CountryUnited States
CityRedondo Beach
Period11/7/17 → …

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Keywords

  • Dementia
  • GPS
  • Living area
  • Location-based services
  • Monitoring system
  • Privacy

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Computational Mechanics
  • Computer Networks and Communications

Cite this

Kamada, S., Matsuo, Y., Hara, S., & Abe, M. (2017). New monitoring scheme for persons with dementia through monitoring-area adaptation according to stage of disease. In P. Bouros, M. Renz, & D. Sacharidis (Eds.), LocalRec 2017 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Recommendations for Location-Based Services and Social Networks [a1] Association for Computing Machinery, Inc. https://doi.org/10.1145/3148150.3148151