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The goal of this paper is to detect cognitive impairment in elderly adults using sensor-based measures installed in the home.
Our results indicate that the proposed approach can effectively distinguish between dementia and MCI based on the sensor features yielded by the Poisson Process ...
Longitudinal time-series data of sensor signals are analyzed with Poisson process (PP) models and supervised machine learning algorithms to identify individuals.
Toward Sensor-Based Early Diagnosis of Cognitive Impairment using Poisson Process Models. Conference Paper. Jul 2022. Manseerat Kaur Batra ...
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The central hypothesis is that object-usage data collected from wireless sensors during the performance of daily activities are sufficient to assess cognitive ...
Mar 10, 2021 · ... Toward Sensor-Based Early Diagnosis of Cognitive Impairment of Elderly Adults in Smart-Home Environments using Poisson Process Models"!
In this paper, we describe an approach to developing an ecologically valid framework for performing automated cognitive assessment. To automate assessment ...
Jul 3, 2020 · This paper specifically seeks to characterise behavioural signatures of mild cog- nitive impairment (MCI) and Alzheimer's disease (AD) in the ...
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In this paper, we develop statistical models of the behavior of older adults within their homes using sensor data in order to detect the early onset of ...
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The authors used inhomogeneous Poisson processes to build statistical models of users' daily presence in different locations.