Smart home based ambient assisted living

recognition of anomaly in the activity of daily living for an elderly living alone

H. Ghayvat, S. Mukhopadhyay, B. Shenjie, A. Chouhan, W. Chen

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

11 Citations (Scopus)

Abstract

Many people with incapacities can continue lives in their existing home with the application of an assistive informatics and healthcare monitoring. Elderly's ability to perform daily activities presents the elderly's wellness. Investigation of human activities for extracting health and well-being statistics is one of the present challenges given the Smart Aging. The existing research works are mostly focusing on offline monitoring and do not give significance to real-time monitoring and forecasting. This paper aims to apply lifestyle monitoring and forecasting in real time in ambient assisted living (AAL) system with diagnosing the conduct and distinguishing the variation from the norm with the slightest conceivable fake alert. Anomaly forecasting model based on inactivity and activity of period of the different ADL is formulated. The present study demonstrates the novel approach for forecasting of wellness anomaly related to the activity of daily living (ADL). The significant correlation between lifestyle and health status is established. Through the present research forecasting of lifestyle would facilitate remote physician/caregiver to insight symptom of the disease and provide health improvement advises to the resident. Moreover, if it is a life-threatening degradation in wellness index than appropriate service provider would be informed directly.

Original languageEnglish
Title of host publication2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2018) proceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781538622223
ISBN (Print)9781538622230
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018 - Houston, United States
Duration: 14 May 201817 May 2018

Conference

Conference2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
CountryUnited States
CityHouston
Period14/05/1817/05/18

Keywords

  • AAL
  • ADL
  • anomaly
  • forecasting
  • pattern generation

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    Ghayvat, H., Mukhopadhyay, S., Shenjie, B., Chouhan, A., & Chen, W. (2018). Smart home based ambient assisted living: recognition of anomaly in the activity of daily living for an elderly living alone. In 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2018) proceedings Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/I2MTC.2018.8409885