Linguistic summarization of sensor data for eldercare

A. Wilbik; J.M. Keller; G.L. Alexander

doi:10.1109/ICSMC.2011.6084067

Linguistic summarization of sensor data for eldercare

A. Wilbik
, J.M. Keller
, G.L. Alexander

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

48 Citations (Scopus)

Abstract

Ubiquitous passive, as well as active, monitoring of elders is a growing field of research and development with the goal of allowing seniors to live safe active independent lives with minimal intrusion. Much useful information, fall detection, fall risk assessment, activity recognition, early illness detection, etc. can be inferred from the mountain of data. Healthcare must be human centric and human friendly, and so, methods to consolidate the data into linguistic summaries for enhanced communication and problem detection with elders, family and healthcare providers is essential. Long term trends can be most easily identified using summarized information. This paper explores the soft computing methodology of protoforms to produce linguistic summaries of one dimensional data, motion and restlessness. The technique is demonstrated on a 15 month sensor collection for an elder participant.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	2595-2599
Number of pages	5
ISBN (Electronic)	978-1-4577-0653-0
ISBN (Print)	978-1-4577-0652-3
DOIs	https://doi.org/10.1109/ICSMC.2011.6084067
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Anchorage, United States Duration: 9 Oct 2011 → 12 Oct 2011

Conference

Conference	2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011
Abbreviated title	SMC 2011
Country/Territory	United States
City	Anchorage
Period	9/10/11 → 12/10/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/ICSMC.2011.6084067

Cite this

@inproceedings{0c83f33154da483fa662c916dd6eecab,

title = "Linguistic summarization of sensor data for eldercare",

abstract = "Ubiquitous passive, as well as active, monitoring of elders is a growing field of research and development with the goal of allowing seniors to live safe active independent lives with minimal intrusion. Much useful information, fall detection, fall risk assessment, activity recognition, early illness detection, etc. can be inferred from the mountain of data. Healthcare must be human centric and human friendly, and so, methods to consolidate the data into linguistic summaries for enhanced communication and problem detection with elders, family and healthcare providers is essential. Long term trends can be most easily identified using summarized information. This paper explores the soft computing methodology of protoforms to produce linguistic summaries of one dimensional data, motion and restlessness. The technique is demonstrated on a 15 month sensor collection for an elder participant.",

author = "A. Wilbik and J.M. Keller and G.L. Alexander",

year = "2011",

doi = "10.1109/ICSMC.2011.6084067",

language = "English",

isbn = "978-1-4577-0652-3",

pages = "2595--2599",

booktitle = "Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011, SMC 2011 ; Conference date: 09-10-2011 Through 12-10-2011",

}

Wilbik, A, Keller, JM & Alexander, GL 2011, Linguistic summarization of sensor data for eldercare. in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011). Institute of Electrical and Electronics Engineers, Piscataway, pp. 2595-2599, 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011, Anchorage, Alaska, United States, 9/10/11. https://doi.org/10.1109/ICSMC.2011.6084067

Linguistic summarization of sensor data for eldercare. / Wilbik, A.; Keller, J.M.; Alexander, G.L.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011). Piscataway: Institute of Electrical and Electronics Engineers, 2011. p. 2595-2599.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Linguistic summarization of sensor data for eldercare

AU - Wilbik, A.

AU - Keller, J.M.

AU - Alexander, G.L.

PY - 2011

Y1 - 2011

N2 - Ubiquitous passive, as well as active, monitoring of elders is a growing field of research and development with the goal of allowing seniors to live safe active independent lives with minimal intrusion. Much useful information, fall detection, fall risk assessment, activity recognition, early illness detection, etc. can be inferred from the mountain of data. Healthcare must be human centric and human friendly, and so, methods to consolidate the data into linguistic summaries for enhanced communication and problem detection with elders, family and healthcare providers is essential. Long term trends can be most easily identified using summarized information. This paper explores the soft computing methodology of protoforms to produce linguistic summaries of one dimensional data, motion and restlessness. The technique is demonstrated on a 15 month sensor collection for an elder participant.

AB - Ubiquitous passive, as well as active, monitoring of elders is a growing field of research and development with the goal of allowing seniors to live safe active independent lives with minimal intrusion. Much useful information, fall detection, fall risk assessment, activity recognition, early illness detection, etc. can be inferred from the mountain of data. Healthcare must be human centric and human friendly, and so, methods to consolidate the data into linguistic summaries for enhanced communication and problem detection with elders, family and healthcare providers is essential. Long term trends can be most easily identified using summarized information. This paper explores the soft computing methodology of protoforms to produce linguistic summaries of one dimensional data, motion and restlessness. The technique is demonstrated on a 15 month sensor collection for an elder participant.

U2 - 10.1109/ICSMC.2011.6084067

DO - 10.1109/ICSMC.2011.6084067

M3 - Conference contribution

SN - 978-1-4577-0652-3

SP - 2595

EP - 2599

BT - Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011

Y2 - 9 October 2011 through 12 October 2011

ER -

Linguistic summarization of sensor data for eldercare

Abstract

Conference

UN SDGs

Access to Document

Fingerprint

Cite this