Beacon-Based Time-Spatial Recognition toward Automatic Daily Care Reporting for Nursing Homes

Tatsuya Morita, Kenta Taki, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

As the world's population of senior citizens continues to grow, the burden on the professionals who care for them (carers) is also increasing. In nursing homes, carers often write daily reports to improve the resident's quality of life. However, since each carer needs to simultaneously care for multiple residents, they have difficulty thoroughly recording the activities of residents. In this paper, we address this problem by proposing an automatic daily report generation system that monitors the activities of nursing home residents. The proposed system estimates the multiple locations (areas) at which residents are situated with a BLE beacon, using a variety of methods to analyze the RSSI values of BLE signals, and recognizes the activity of each resident from the estimated area information. The information of the estimated activity of residents is stored in a server with timestamps, and the server automatically generates daily reports based on them. To show the effectiveness of the proposed system, we conducted an experiment for five days with four participants in cooperation with an actual nursing home. We determined the proposed system's effectiveness with the following four evaluations: (1) comparison of performance of different machine-learning algorithms, (2) comparison of smoothing methods, (3) comparison of time windows, and (4) evaluation of generated daily reports. Our evaluations show the most effective combination pattern among 156 patterns to accurately generate daily reports. We conclude that the proposed system has high effectiveness, high usability, and high flexibility.

Original languageEnglish
Article number2625195
JournalJournal of Sensors
Volume2018
DOIs
Publication statusPublished - Jan 1 2018
Externally publishedYes

Fingerprint

beacons
Nursing
Servers
evaluation
system effectiveness
Learning algorithms
machine learning
Learning systems
smoothing
flexibility
recording
estimates
Experiments

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Beacon-Based Time-Spatial Recognition toward Automatic Daily Care Reporting for Nursing Homes. / Morita, Tatsuya; Taki, Kenta; Fujimoto, Manato; Suwa, Hirohiko; Arakawa, Yutaka; Yasumoto, Keiichi.

In: Journal of Sensors, Vol. 2018, 2625195, 01.01.2018.

Research output: Contribution to journalArticle

Morita, Tatsuya ; Taki, Kenta ; Fujimoto, Manato ; Suwa, Hirohiko ; Arakawa, Yutaka ; Yasumoto, Keiichi. / Beacon-Based Time-Spatial Recognition toward Automatic Daily Care Reporting for Nursing Homes. In: Journal of Sensors. 2018 ; Vol. 2018.
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