An intervention framework for cognitively impaired patients

Priyanka Chaurasia, Bryan Scotney, Sally McClean, Chris Nugent

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

Abstract

People suffering from memory impairments experience decreased concentration, with difficulty in recalling and thinking. Inhabitants in a smart home are surrounded by multiple sensors and the sensor data collected provide information about the inhabitant’s interaction with the environment. Sensor data can be used to monitor the cognitive disabilities of the person by studying their behaviour in relation to carrying out Activity of Daily Living (ADLs). In this paper we propose an intervention framework for assistance that incorporates duration information along with the partially observed low-level sensor information and time. The framework learns probabilistically about the user and the ongoing activity and then provides decision support to monitor and assist in completing the ADLs. Our results verify that adding duration information consistently improves the accuracy in predictions from partial observation of sensor activations. ].
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
Publication statusPublished - 26 Sep 2010
Event5thtern’l Workshop on Ubiquitous Health and Wellness - Copenhagen
Duration: 26 Sep 2010 → …

Workshop

Workshop5thtern’l Workshop on Ubiquitous Health and Wellness
Period26/09/10 → …

Fingerprint

Sensors
Chemical activation
Data storage equipment

Keywords

  • Activity recognition
  • partially observed data
  • smart homes
  • duration

Cite this

Chaurasia, P., Scotney, B., McClean, S., & Nugent, C. (2010). An intervention framework for cognitively impaired patients. In Unknown Host Publication
Chaurasia, Priyanka ; Scotney, Bryan ; McClean, Sally ; Nugent, Chris. / An intervention framework for cognitively impaired patients. Unknown Host Publication. 2010.
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author = "Priyanka Chaurasia and Bryan Scotney and Sally McClean and Chris Nugent",
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Chaurasia, P, Scotney, B, McClean, S & Nugent, C 2010, An intervention framework for cognitively impaired patients. in Unknown Host Publication. 5thtern’l Workshop on Ubiquitous Health and Wellness, 26/09/10.

An intervention framework for cognitively impaired patients. / Chaurasia, Priyanka; Scotney, Bryan; McClean, Sally; Nugent, Chris.

Unknown Host Publication. 2010.

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

TY - GEN

T1 - An intervention framework for cognitively impaired patients

AU - Chaurasia, Priyanka

AU - Scotney, Bryan

AU - McClean, Sally

AU - Nugent, Chris

PY - 2010/9/26

Y1 - 2010/9/26

N2 - People suffering from memory impairments experience decreased concentration, with difficulty in recalling and thinking. Inhabitants in a smart home are surrounded by multiple sensors and the sensor data collected provide information about the inhabitant’s interaction with the environment. Sensor data can be used to monitor the cognitive disabilities of the person by studying their behaviour in relation to carrying out Activity of Daily Living (ADLs). In this paper we propose an intervention framework for assistance that incorporates duration information along with the partially observed low-level sensor information and time. The framework learns probabilistically about the user and the ongoing activity and then provides decision support to monitor and assist in completing the ADLs. Our results verify that adding duration information consistently improves the accuracy in predictions from partial observation of sensor activations. ].

AB - People suffering from memory impairments experience decreased concentration, with difficulty in recalling and thinking. Inhabitants in a smart home are surrounded by multiple sensors and the sensor data collected provide information about the inhabitant’s interaction with the environment. Sensor data can be used to monitor the cognitive disabilities of the person by studying their behaviour in relation to carrying out Activity of Daily Living (ADLs). In this paper we propose an intervention framework for assistance that incorporates duration information along with the partially observed low-level sensor information and time. The framework learns probabilistically about the user and the ongoing activity and then provides decision support to monitor and assist in completing the ADLs. Our results verify that adding duration information consistently improves the accuracy in predictions from partial observation of sensor activations. ].

KW - Activity recognition

KW - partially observed data

KW - smart homes

KW - duration

M3 - Conference contribution

SN - 978-1-4503-0283-8

BT - Unknown Host Publication

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Chaurasia P, Scotney B, McClean S, Nugent C. An intervention framework for cognitively impaired patients. In Unknown Host Publication. 2010