Localization System Supporting People with Cognitive Impairment and Their Caregivers

Authors

Abstract

Localization systems are an important component
of Ambient and Assisted Living platforms supporting persons
with cognitive impairments. The paper presents a positioning
system being a part of the platform developed within the IONIS
European project. The system’s main function is providing the
platform with data on user mobility and localization, which
would be used to analyze his/her behavior and detect dementia
wandering symptoms. An additional function of the system is
localization of items, which are frequently misplaced by dementia
sufferers.
The paper includes a brief description of system’s architecture,
design of anchor nodes and tags and exchange of data between
devices. both localization algorithms for user and item positioning
are also presented. Exemplary results illustrating the system’s
capabilities are also included.

References

M. D. Mulvenna and C. D. Nugent, Eds., Supporting People with Dementia

Using Pervasive Health Technologies, ser. Advanced Information

and Knowledge Processing. London: Springer-Verlag, 2010.

Price Celia, “Evaluation of an activity monitoring system for people with

dementia,” Journal of Assistive Technologies, vol. 1, no. 2, pp. 11–17,

Jan. 2007.

D. Tang, Y. Yoshihara, T. Obo, T. Takeda, J. Botzheim, and N. Kubota,

“Evolution strategy for anomaly detection in daily life monitoring of

elderly people,” in 2016 55th Annual Conference of the Society of

Instrument and Control Engineers of Japan (SICE), Sep. 2016, pp. 1376–

A. Grunerbl, G. Bahle, P. Lukowicz, and F. Hanser, “Using Indoor

Location to Assess the State of Dementia Patients: Results and Experience

Report from a Long Term, Real World Study,” in 2011 Seventh

International Conference on Intelligent Environments, Jul. 2011, pp. 32–

V. Varadharajan, U. Tupakula, and K. Karmakar, “Secure Monitoring

of Patients With Wandering Behavior in Hospital Environments,” IEEE

Access, vol. 6, pp. 11 523–11 533, 2018.

M. B. Mendoza, C. A. Bergado, J. L. B. De Castro, and R. G. T. Siasat,

“Tracking system for patients with Alzheimer’s disease in a nursing

home,” in TENCON 2017 - 2017 IEEE Region 10 Conference, Nov.

, pp. 2566–2570.

M. Jakobsen, P. B. Poulsen, T. Reiche, N. P. Nissen, and J. Gundgaard,

“Costs of Informal Care for People Suffering from Dementia: Evidence

from a Danish Survey,” Dementia and Geriatric Cognitive Disorders

EXTRA, vol. 1, no. 1, pp. 418–428, Nov. 2011.

S. M. Huynh, D. Parry, A. Fong, and J. Tang, “Novel RFID and

ontology based home localization system for misplaced objects,” IEEE

Transactions on Consumer Electronics, vol. 60, no. 3, pp. 402–410, Aug.

S. Eisa and A. Moreira, “Requirements and metrics for location and

tracking for ambient assisted living,” in 2012 International Conference

on Indoor Positioning and Indoor Navigation (IPIN). Sydney, Australia:

IEEE, Nov. 2012, pp. 1–7.

L. Mainetti, L. Patrono, A. Secco, and I. Sergi, “An IoT-aware AAL

system for elderly people,” in 2016 International Multidisciplinary

Conference on Computer and Energy Science (SpliTech), Jul. 2016, pp.

–6.

V. Bianchi, P. Ciampolini, and I. De Munari, “RSSI-Based Indoor

Localization and Identification for ZigBee Wireless Sensor Networks

in Smart Homes,” IEEE Transactions on Instrumentation and Measurement,

vol. 68, no. 2, pp. 566–575, Feb. 2019.

S. Tateno, T. Li, Y. Wu, and Z. Wang, “Improved Indoor Localization

System Using Statistical AP Selection Method Based on RSSI,” in

57th Annual Conference of the Society of Instrument and Control

Engineers of Japan (SICE), Sep. 2018, pp. 1652–1657.

T. Van Haute, E. De Poorter, P. Crombez, F. Lemic, V. Handziski,

N. Wirstr¨om, A. Wolisz, T. Voigt, and I. Moerman, “Performance analysis

of multiple Indoor Positioning Systems in a healthcare environment,”

International Journal of Health Geographics, vol. 15, no. 1, p. 7, Dec.

L. Kanaris, A. Kokkinis, A. Liotta, and S. Stavrou, “Fusing Bluetooth

Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization,”

Sensors, vol. 17, no. 4, p. 812, Apr. 2017.

M. G. Jadidi, M. Patel, J. V. Miro, G. Dissanayake, J. Biehl, and

A. Girgensohn, “A Radio-Inertial Localization and Tracking System with

BLE Beacons Prior Maps,” in 2018 International Conference on Indoor

Positioning and Indoor Navigation (IPIN). Nantes: IEEE, Sep. 2018,

pp. 206–212.

M. Kolakowski, “Improving Accuracy and Reliability of Bluetooth Low-

Energy-Based Localization Systems Using Proximity Sensors,” Applied

Sciences, vol. 9, no. 19, p. 4081, Jan. 2019.

J. Kolakowski, V. Djaja-Josko, and M. Kolakowski, “UWB Monitoring

System for AAL Applications,” Sensors, vol. 17, no. 9, p. 2092, Sep.

“IONIS — European Commission Programme,”

https://ionis.eclexys.com/, Sep. 2019.

Texas Instruments, “TivaTM TM4C123GH6PZ Microcontroller Data

Sheet,” 2014.

Decawave Ltd., “DWM1000 IEEE 802.15.4-2011 UWB Transceiver

Module,” 2016.

Laird, “BL652-SA and BL652-SC, Datasheet,” 2017.

Digi International Inc., “DIGI XBEE R WI-FI,” 2017.

Bosch Sensortec, “BMI160 - Small, low power inertial measurement

unit, Data sheet,” 2018.

——, “BMP280 - Digital Pressure Sensor, Data sheet,” 2018.

Texas Instruments, “MSP430FR235x, MSP430FR215x mixed-signal microcontrollers,

Data sheet,” 2019.

Bosch Sensortec, “BMA280 - Digital, triaxial acceleration sensor, Data

sheet,” 2019.

CUI Inc., “CMT-1411R-SMT-TR - Magnetic Buzzer Transducer, Data

sheet,” 2019.

Mohinder S Grewal, Kalman Filtering: Theory and Practice Using

MATLAB, 4th ed. Hoboken: John Wiley & Sons, 2015.

Y. Bar-Shalom, Estimation with Applications to Tracking and Navigation.

New York: John Wiley & Sons, 2001.

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Published

2024-04-19

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Telecommunications