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Air quality has been shown to impact Alzheimer's severity and cognition.
It would be great if we could do a cognition study that inferred cognitive performance from speech and a minicog test administered by a robot with speech, speech recognition, and an artificial nose.
Tasks:
Cognitive Performance Inference from Speech: Develop a feature that allows Longevitron to analyze speech patterns and infer cognitive performance. This will involve using speech recognition technology to monitor changes in speech fluency and word usage over time.
Mini-Cog Test Administration: Implement a feature that allows Longevitron to administer the Mini-Cog test, a brief cognitive test involving a memory recall task and a clock-drawing task. Longevitron should be able to guide its owner through the test, record the results, and track changes over time.
Air Quality Monitoring with an Artificial Nose: Integrate an artificial nose sensor into Longevitron to monitor air quality. This sensor could be based on the technology developed by Microsoft's AI Lab. The data collected by this sensor should be correlated with cognitive performance data to study the impact of air quality on cognition.
Acceptance Criteria:
Longevitron should be able to analyze speech patterns and infer cognitive performance.
Longevitron should be able to administer the Mini-Cog test and record the results.
Longevitron should be able to monitor air quality using an artificial nose sensor.
The data collected by Longevitron should be used to study the impact of air quality on cognitive performance.
Notes:
This enhancement will allow Longevitron to provide a comprehensive approach to cognitive health monitoring and research. It could lead to earlier detection of cognitive decline, better understanding of the environmental factors that impact cognitive health, and more effective interventions to improve cognitive performance and quality of life.
Air quality has been shown to impact Alzheimer's severity and cognition.
It would be great if we could do a cognition study that inferred cognitive performance from speech and a minicog test administered by a robot with speech, speech recognition, and an artificial nose.
Tasks:
Cognitive Performance Inference from Speech: Develop a feature that allows Longevitron to analyze speech patterns and infer cognitive performance. This will involve using speech recognition technology to monitor changes in speech fluency and word usage over time.
Mini-Cog Test Administration: Implement a feature that allows Longevitron to administer the Mini-Cog test, a brief cognitive test involving a memory recall task and a clock-drawing task. Longevitron should be able to guide its owner through the test, record the results, and track changes over time.
Air Quality Monitoring with an Artificial Nose: Integrate an artificial nose sensor into Longevitron to monitor air quality. This sensor could be based on the technology developed by Microsoft's AI Lab. The data collected by this sensor should be correlated with cognitive performance data to study the impact of air quality on cognition.
Acceptance Criteria:
Notes:
This enhancement will allow Longevitron to provide a comprehensive approach to cognitive health monitoring and research. It could lead to earlier detection of cognitive decline, better understanding of the environmental factors that impact cognitive health, and more effective interventions to improve cognitive performance and quality of life.
https://www.microsoft.com/en-us/ai/ai-lab-artificial-nose
https://www.seeedstudio.com/wio-terminal-tinyml.html
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