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Modeling cognitive performance using home monitoring data is a new approach to managing neurologic conditions and for monitoring the effects of cognitive exercise interventions. The data consists of activity monitoring from motion sensors and specific cognitive metrics embedded within our adaptive computer games. The frequency and continuity of data collection allows us to analyze within subject trends...
Traditional methods of cognitive assessment using neuropsychological tests are expensive and time consuming. These methods do not lend themselves to frequent monitoring and trend detection. In this paper, we describe a method for using enjoyable computer games with embedded cognitive metrics to monitor within-subject trends in performance. We have created a set of 9 computer games to specifically...
Maintaining cognitive performance is a key factor influencing elders' ability to live independently with a high quality of life. We have been developing unobtrusive measures to monitor cognitive performance and potentially predict decline using information from routine computer interactions in the home. Early detection of cognitive decline offers the potential for intervention at a point when it is...
Cognitive assessments and the early detection of dementia are an important component of clinical care. In this paper we describe an approach to continuous monitoring of sensory-motor function that corresponds to standard tests of cognitive function, but measured more frequently and in a natural home environment. The approach is based on monitoring human-computer interactions using standard devices...
Standard cognitive assessments to detect dementia are administered infrequently and often long after symptoms are clear to even family members. With the advent of new drugs and therapies to delay the onset of dementia, it is important to both detect signs as early as possible and to provide monitoring of cognitive changes. This paper describes unobtrusive methods for monitoring user interactions with...
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